Morphology of Cycladophora davisiana davisiana from the Atlantic Ocean

In recent years, temporal fluctuations in the abundance of C. d. davisiana have been used frequently as a highresolution stratigraphic and paleoenvironmental tool. The modern ecology and morphologic variation (temporal and geographic) of this radiolarian species is evaluated to ascertain its potential stratigraphic and paleoenvironmental significance. Statistics were obtained on the width and height of all C. d. davisiana segments from Pleistocene populations of differing ages from the Northern Hemisphere (Labrador Sea and Iceland-Faeroe Ridge) and Southern Hemisphere (Namibian shelf and Meteor Rise). Results reveal that segment height variations between and within populations are more conservative than segment width. The mean sizes of the thorax and first abdominal segment have distinguishable differences between C. d. davisiana found in the North and South Atlantic. All populations have no significant difference in first abdominal segment width, however, mean heights of this segment differ greatly between populations of the North and South Atlantic. Second abdominal segment sizes show no clear population grouping. Size differences in post-cephalic segment size of these populations would appear to be related to some isolation of gene pools and possibly unknown paleoenvironmental factors. Temporal changes in the postcephalic size of C. d. davisiana may be used to: (1) identify temporally equivalent peaks in abundance of the species in a given region, (2) possibly evaluate the degree of mixing of water'masses between regions, and (3) trace the initial spread of the species from its area of origin. Cleve's 1887 plankton samples, between Greenland and Spitzsbergen, were studied and used in conjunction with other data to make the following conclusions on the modern ecology of C. d. davisiana in the Arctic and Greenland-Norwegian Seas. (1) It is presently absent in surface water plankton samples, (2) it currently lives at depths below 500 m, where it is rare, (3) it does not live in the upper 200 m under Arctic ice but is rare at greater depths, (4) it is absent in the upper 200 m near permanent Greenland Sea ice where normal oceanic salinity prevails, and (5) it is most common in deep marginal fjord environments which may serve as a refuge for the species during interglacial periods. In the Atlantic Ocean, the abundance of C. d. davisiana does not exceed 1% of the assemblage between the Subtropical Convergence of each hemisphere. In the Norwegian and Labrador Seas the species may occasionally be in the range of 1-5% of the modern radiolarian assemblage and never more than 5% in the southern high latitudes. Apparently only in the modern Sea of Okhotsk, does the species presently occur in high abundance. We concur with Morley and Hays (1983) that increased abundances are likely caused by the development of a strong low-salinity surface layer associated with seasonal sea ice melting and a strong temperature minimum above warmer and higher salinity intermediate waters. Similar conditions were frequent during the Pleistocene in the high latitudes and its modern scarcity outside the Sea of Okhotsk must be related to the absence of the presently unique conditions in the latter region.

Organic carbon accumulation in the South Atlantic Ocean

A compilation of 1118 surface sediment samples from the South Atlantic was used to map modern seafloor distribution of organic carbon content in this ocean basin. Using new data on Holocene sedimentation rates, we estimated the annual organic carbon accumulation in the pelagic realm (>3000 m water depth) to be approximately 1.8*10**12 g C/year. In the sediments underlying the divergence zone in the Eastern Equatorial Atlantic (EEA), only small amounts of organic carbon accumulate in spite of the high surface water productivity observed in that area. This implies that in the Eastern Equatorial Atlantic, organic carbon accumulation is strongly reduced by efficient degradation of organic matter prior to its burial. During the Last Glacial Maximum (LGM), accumulation of organic carbon was higher than during the mid-Holocene along the continental margins of Africa and South America (Brazil) as well as in the equatorial region. In the Eastern Equatorial Atlantic in particular, large relative differences between LGM and mid-Holocene accumulation rates are found. This is probably to a great extent due to better preservation of organic matter related to changes in bottom water circulation and not just a result of strongly enhanced export productivity during the glacial period. On average, a two- to three-fold increase in organic carbon accumulation during the LGM compared to mid-Holocene conditions can be deduced from our cores. However, for the deep-sea sediments this cannot be solely attributed to a glacial productivity increase, as changes in South Atlantic deep-water circulation seem to result in better organic carbon preservation during the LGM.

Estudio genético HLA en poblaciones iraníes: epidemiología, antropología y farmacogenética

The HLA system is the most polymorphic genetic system described in humans. It consists of several closely linked loci encoding cell surface glycoproteins whose best known function is activating immune system response through antigenic presentation. New loci and new alleles have been described since the discovery of this genetic system and the presently available DNA typing and sequencing of these new alleles have increased the variety of HLA allelism. Due to the fact that HLA gene frequencies have a large degree of variability and a remarkable geographical correlation, HLA genes are an important and useful tool to infer genetic background and ethnical composition of modern human populations and also for tracing migration of ancient ones. In addition, certain combinations of contiguous alleles due to the strong linkage disequilibrium between HLA neighbouring loci show a characteristic frequency or are distinctive in many present day populations. Thus, HLA genetic system is a unique tool for studying the origin of relatively isolated groups, like Turkmen, Azeri and Kurd people, the populations under study, living in North Iran, in the surrounding area of Caspian Sea. Finally, HLA polymorphism is crucial for the compatibility between donor and receptor in organ transplantation and several HLA alleles have been linked to diseases and to response to drug treatments, which accomplishes relationships of certain variants with different pathologies treatment including AIDS. This is important in personalized treatments design. Turkmen could be descendants of Oghuz tribes from Seljuq branch coming from Transoxiana region (Central Asia) contemporarily to the foundation of the Seljuk Empire in 10th century AD. Conversely, this people could belong to another group within the Oghuz, arriving to Iran five centuries later. Migrations of this people were initially developed peacefully, being vassals of the Safavid Empire, and later by violent raids. They speak a language belonging to the Turkish-Oghuz group. In Iran, Turkmen live in Golestan province, mainly in Türkmensähra (“Turkmen plain”) area and amount 1.5 million people (2% of Iranian population). Most of this people are Sunni Muslims...

Pentecôte et langues de feu : analyse structurelle et interprétation d’Actes des Apôtres 2,3

Le récit de la Pentecôte (Actes des Apôtres 2) présente au lecteur un élément particulier qui se retrouve rarement dans le canon biblique : les « langues comme de feu ». Seuls les passages d’Isaïe 5,24 et Actes 2,3 utilisent cette expression; pourtant, leurs contextes diffèrent largement. Nous trouvons certains commentaires rabbiniques et fragments de rouleaux de la Mer Morte qui emploient cette même expression, et la littérature gréco-romaine utilise une image similaire où un feu divin se pose sur la tête de certains personnages. Puisque la fonction de cet élément diffère d’un ouvrage littéraire à un autre, comment devons-nous interpréter les langues de feu dans le récit de la Pentecôte? Les commentaires bibliques qui examinent cet élément proposent différentes hypothèses sur la symbolique des langues de feu. Afin de répondre à cette problématique, nous commencerons notre étude avec une présentation sur l’état de la question et des approches synchroniques utilisées. Nous présenterons ensuite l’analyse structurelle du récit de la Pentecôte afin de percevoir la place que notre expression occupe dans cette péricope. Au chapitre trois, nous ferons une analyse grammaticale de notre segment afin de voir la fonction grammaticale de l’expression, et présenter une recension des ouvrages hébraïques et gréco-romains qui utilisent cette expression ou une image similaire. Enfin, l’analyse philologique des termes γλῶσσα et πῦρ sera élaborée et comparée à l’utilisation retrouvée dans le livre des Actes des Apôtres. Subséquemment, nous serons en mesure de porter un regard critique sur quelques interprétations proposées afin de percevoir que la mise en réseau structurel du membre γλῶσσαι ὡσεὶ πυρός, avec les termes répétitifs et synonymiques du récit, nous orientent à percevoir l’accomplissement de la promesse du Saint-Esprit, qui à son tour habilite le croyant à réaliser la mission donnée : la proclamation du message christologique à toutes les ethnies.

Bayesian Inference in Large-scale Problems

Many modern applications fall into the category of "large-scale" statistical problems, in which both the number of observations n and the number of features or parameters p may be large. Many existing methods focus on point estimation, despite the continued relevance of uncertainty quantification in the sciences, where the number of parameters to estimate often exceeds the sample size, despite huge increases in the value of n typically seen in many fields. Thus, the tendency in some areas of industry to dispense with traditional statistical analysis on the basis that "n=all" is of little relevance outside of certain narrow applications. The main result of the Big Data revolution in most fields has instead been to make computation much harder without reducing the importance of uncertainty quantification. Bayesian methods excel at uncertainty quantification, but often scale poorly relative to alternatives. This conflict between the statistical advantages of Bayesian procedures and their substantial computational disadvantages is perhaps the greatest challenge facing modern Bayesian statistics, and is the primary motivation for the work presented here.

Two general strategies for scaling Bayesian inference are considered. The first is the development of methods that lend themselves to faster computation, and the second is design and characterization of computational algorithms that scale better in n or p. In the first instance, the focus is on joint inference outside of the standard problem of multivariate continuous data that has been a major focus of previous theoretical work in this area. In the second area, we pursue strategies for improving the speed of Markov chain Monte Carlo algorithms, and characterizing their performance in large-scale settings. Throughout, the focus is on rigorous theoretical evaluation combined with empirical demonstrations of performance and concordance with the theory.

One topic we consider is modeling the joint distribution of multivariate categorical data, often summarized in a contingency table. Contingency table analysis routinely relies on log-linear models, with latent structure analysis providing a common alternative. Latent structure models lead to a reduced rank tensor factorization of the probability mass function for multivariate categorical data, while log-linear models achieve dimensionality reduction through sparsity. Little is known about the relationship between these notions of dimensionality reduction in the two paradigms. In Chapter 2, we derive several results relating the support of a log-linear model to nonnegative ranks of the associated probability tensor. Motivated by these findings, we propose a new collapsed Tucker class of tensor decompositions, which bridge existing PARAFAC and Tucker decompositions, providing a more flexible framework for parsimoniously characterizing multivariate categorical data. Taking a Bayesian approach to inference, we illustrate empirical advantages of the new decompositions.

Latent class models for the joint distribution of multivariate categorical, such as the PARAFAC decomposition, data play an important role in the analysis of population structure. In this context, the number of latent classes is interpreted as the number of genetically distinct subpopulations of an organism, an important factor in the analysis of evolutionary processes and conservation status. Existing methods focus on point estimates of the number of subpopulations, and lack robust uncertainty quantification. Moreover, whether the number of latent classes in these models is even an identified parameter is an open question. In Chapter 3, we show that when the model is properly specified, the correct number of subpopulations can be recovered almost surely. We then propose an alternative method for estimating the number of latent subpopulations that provides good quantification of uncertainty, and provide a simple procedure for verifying that the proposed method is consistent for the number of subpopulations. The performance of the model in estimating the number of subpopulations and other common population structure inference problems is assessed in simulations and a real data application.

In contingency table analysis, sparse data is frequently encountered for even modest numbers of variables, resulting in non-existence of maximum likelihood estimates. A common solution is to obtain regularized estimates of the parameters of a log-linear model. Bayesian methods provide a coherent approach to regularization, but are often computationally intensive. Conjugate priors ease computational demands, but the conjugate Diaconis--Ylvisaker priors for the parameters of log-linear models do not give rise to closed form credible regions, complicating posterior inference. In Chapter 4 we derive the optimal Gaussian approximation to the posterior for log-linear models with Diaconis--Ylvisaker priors, and provide convergence rate and finite-sample bounds for the Kullback-Leibler divergence between the exact posterior and the optimal Gaussian approximation. We demonstrate empirically in simulations and a real data application that the approximation is highly accurate, even in relatively small samples. The proposed approximation provides a computationally scalable and principled approach to regularized estimation and approximate Bayesian inference for log-linear models.

Another challenging and somewhat non-standard joint modeling problem is inference on tail dependence in stochastic processes. In applications where extreme dependence is of interest, data are almost always time-indexed. Existing methods for inference and modeling in this setting often cluster extreme events or choose window sizes with the goal of preserving temporal information. In Chapter 5, we propose an alternative paradigm for inference on tail dependence in stochastic processes with arbitrary temporal dependence structure in the extremes, based on the idea that the information on strength of tail dependence and the temporal structure in this dependence are both encoded in waiting times between exceedances of high thresholds. We construct a class of time-indexed stochastic processes with tail dependence obtained by endowing the support points in de Haan's spectral representation of max-stable processes with velocities and lifetimes. We extend Smith's model to these max-stable velocity processes and obtain the distribution of waiting times between extreme events at multiple locations. Motivated by this result, a new definition of tail dependence is proposed that is a function of the distribution of waiting times between threshold exceedances, and an inferential framework is constructed for estimating the strength of extremal dependence and quantifying uncertainty in this paradigm. The method is applied to climatological, financial, and electrophysiology data.

The remainder of this thesis focuses on posterior computation by Markov chain Monte Carlo. The Markov Chain Monte Carlo method is the dominant paradigm for posterior computation in Bayesian analysis. It has long been common to control computation time by making approximations to the Markov transition kernel. Comparatively little attention has been paid to convergence and estimation error in these approximating Markov Chains. In Chapter 6, we propose a framework for assessing when to use approximations in MCMC algorithms, and how much error in the transition kernel should be tolerated to obtain optimal estimation performance with respect to a specified loss function and computational budget. The results require only ergodicity of the exact kernel and control of the kernel approximation accuracy. The theoretical framework is applied to approximations based on random subsets of data, low-rank approximations of Gaussian processes, and a novel approximating Markov chain for discrete mixture models.

Data augmentation Gibbs samplers are arguably the most popular class of algorithm for approximately sampling from the posterior distribution for the parameters of generalized linear models. The truncated Normal and Polya-Gamma data augmentation samplers are standard examples for probit and logit links, respectively. Motivated by an important problem in quantitative advertising, in Chapter 7 we consider the application of these algorithms to modeling rare events. We show that when the sample size is large but the observed number of successes is small, these data augmentation samplers mix very slowly, with a spectral gap that converges to zero at a rate at least proportional to the reciprocal of the square root of the sample size up to a log factor. In simulation studies, moderate sample sizes result in high autocorrelations and small effective sample sizes. Similar empirical results are observed for related data augmentation samplers for multinomial logit and probit models. When applied to a real quantitative advertising dataset, the data augmentation samplers mix very poorly. Conversely, Hamiltonian Monte Carlo and a type of independence chain Metropolis algorithm show good mixing on the same dataset.

The Politics of Gender Socialization

This manuscript is comprised of three papers that examine the far-reaching and often invisible political outcomes of gender role socialization in the United States. These papers focus primarily on two areas: political confidence amongst girls and women, and the effects of gender on survey measurement and data quality.

Chapter one focuses on political confidence, and the likelihood that women will run for political office. Women continue to be underrepresented at all levels of political leadership, and their lack of political ambition, relative to men, has been identified as a primary cause. In this paper, I explore the relationship between an individual's masculinity and femininity and her development of political ambition. Using original survey data from the 2012 Cooperative Congressional Election Study (CCES), I first empirically demonstrate that gender (masculinity/femininity) and sex (male/female) are unique elements of identity and, moreover, are both independently related to political ambition. I then explore the relevance of gender for the study of candidate emergence, testing whether and how masculinity and femininity might be related to political ambition are supported empirically. While the results suggest that masculinity is positively associated with the development of political ambition, the relationship between femininity and candidate emergence seems to be more complicated and not what prevailing stereotypes might lead us to expect. Moreover, while the relationship between masculinity and political ambition is the same for men and women, the relationship between femininity and political ambition is very different for women than it is for men. This study suggests that gender role socialization is highly related with both men's and women's desire to seek positions of political leadership.

Chapter two continues this exploration of gendered differences in the development of political ambition, this time exploring how social attractiveness and gendered perceptions of political leadership impact the desire to hold political office.Women are persistently underrepresented as candidates for public office and remain underrepresented at all levels of government in the United States. Previous literature suggests that the gendered ambition gap, gender socialization, insufficient recruitment, media scrutiny, family responsibilities, modern campaign strategies, and political opportunity structures all contribute to the gender imbalance in pools of officeholders and candidates. To explain women's reticence to run, scholars have offered explanations addressing structural, institutional, and individual-level factors that deter women from becoming candidates, especially for high positions in the U.S. government. This paper examines a previously unexplored factor: how dating and socialized norms of sexual attraction affect political ambition. This study investigates whether young, single, and heterosexual women's desire for male attention and fear of being perceived as unattractive or "too ambitious" present obstacles to running for office. The results of these experiments suggest that social expectations about gender, attraction and sexuality, and political office-holding may contribute to women's reticence to pursue political leadership. Chapter two is a co-authored work and represents the joint efforts of Laura Lazarus Frankel, Shauna Shames, and Nadia Farjood.

Chapter 3 bridges survey methodology and gender socialization, focusing on how interviewer sex affects survey measurement and data quality. Specifically, this paper examines whether and how matching interviewer and respondent sex affects panel attrition--respondents dropping out of the study after participating in the first wave. While the majority of research on interviewer effects suggests that matching interviewer and respondent characteristics (homophily) yields higher quality data, little work has examined whether this pattern holds true in the area of panel attrition. Using paradata from the General Social Survey (GSS), I explore this question. My analysis reveals that, despite its broader positive effects on data quality, matching interviewer and respondent sex increases likelihood to attrit. Interestingly, this phenomenon only emerges amongst male respondents. However, while assigning female interviewers to male respondents decreases their propensity to attrit, it also increases the likelihood of biased responses on gender related items. These conflicting outcomes represent a tradeoff for scholars and survey researchers, requiring careful consideration of mode, content, and study goals when designing surveys and/or analyzing survey data. The implications of these patterns and areas for further research are discussed.

Together, these papers illustrate two ways that gender norms are related to political outcomes: they contribute to patterns of candidate emergence and affect the measurement of political attitudes and behaviors.

Relative abundance of diatom species in surface samples from the Southern Ocean, Tropical/Subtropical species

This paper gives a modern circumscription of Tropical/Subtropical diatoms regarding their relationship with sea-surface temperatures (SST) and sea ice cover. Diatoms from 228 core-top sediment samples collected from the Southern Ocean were studied to determine the geographic distribution of eight major diatom species/taxa preserved in surface sediments generally located north of the Subantarctic Front. The comparison of the relative contribution of diatom species with modern February SST and sea-ice cover reveals species-specific sedimentary distributions regulated both by water temperatures and sea ice conditions. Although selective preservation might have played some role, their presence in surface and downcore sediments from the Southern Ocean are reliable indicators of high SST and poleward transport of waters from the Tropical/Subtropical Atlantic. Our work supports the use of diatom remains to reconstruct past variations of these environmental parameters via qualitative and transfer function approaches.

Pollen records from Bol'shoy Lyakhovsky Island, Siberia

Cryolithological, ground ice and fossil bioindicator (pollen, diatoms, plant macrofossils, rhizopods, insects, mammal bones) records from Bol'shoy Lyakhovsky Island permafrost sequences (73°20'N, 141°30'E) document the environmental history in the region for the past c. 115 kyr. Vegetation similar to modern subarctic tundra communities prevailed during the Eemian/Early Weichselian transition with a climate warmer than the present. Sparse tundra-like vegetation and harsher climate conditions were predominant during the Early Weichselian. The Middle Weichselian deposits contain peat and peaty soil horizons with bioindicators documenting climate amelioration. Although dwarf willows grew in more protected places, tundra and steppe vegetation prevailed. Climate conditions became colder and drier c. 30 kyr BP. No sediments dated between c. 28.5 and 12.05 14C kyr BP were found, which may reflect active erosion during that time. Herb and shrubby vegetation were predominant 11.6-11.3 14C kyr BP. Summer temperatures were c. 4 °C higher than today. Typical arctic environments prevailed around 10.5 14C kyr BP. Shrub alder and dwarf birch tundra were predominant between c. 9 and 7.6 kyr BP. Reconstructed summer temperatures were at least 4 °C higher than present. However, insect remains reflect that steppe-like habitats existed until c. 8 kyr BP. After 7.6 kyr BP, shrubs gradually disappeared and the vegetation cover became similar to that of modern tundra. Pollen and beetles indicate a severe arctic environment c. 3.7 kyr BP. However, Betula nana, absent on the island today, was still present. Together with our previous study on Bol'shoy Lyakhovsky Island covering the period between about 200 and 115 kyr, a comprehensive terrestrial palaeoenvironmental data set from this area in western Beringia is now available for the past two glacial-interglacial cycles.

La idea de una autoridad política mundial. Consideraciones críticas a la luz de las exigencias de la realidad política

A partir de los fundamentos del orden político-jurídico y de las aporías señaladas por la teoría del Estado y de las relaciones internacionales contemporáneas, buscando sustraerse a todo dogmatismo ideológico, el trabajo discute los argumentos axiales que han servido para sustentar la idea de un poder político mundial y señala los principales defectos de legitimidad que es dable descubrir en tal idea —sin detenerse en una propuesta particular de entre las varias y significativas que han surgido a lo largo de los últimos siglos en sede teológica, filosófica, política y jurídica—.

En torno a la fundamentación de la dignidad personal

Las trágicas experiencias de las guerras mundiales llevaron a la Declaración Universal de los Derechos Humanos promovida por la ONU en 1948. A partir de entonces gran parte de las Constituciones de nueva creación reconocen la inviolabilidad de la dignidad humana. Sin embargo, los redactores de la declaración pusieron empeño en omitir las razones teóricas en las que se fundan dichos derechos, por el temor a que diferencias teóricas aplazaran o hicieran inviable dicho reconocimiento. La fragmentación en la que se halla la antropología filosófica desde hace varios siglos está reclamando un principio unificador de los saberes en torno al ser humano. En este contexto la dignidad humana como experiencia universal se presenta como principio unificador. Seis décadas después sigue pendiente la elaboración de una sólida, y también universalmente aceptable, fundamentación de la dignidad humana y sus derechos fundamentales, cuestión complicada que parece requerir un nuevo avance en la ontología y en la antropología filosófica.

Uguaglianza e differenza di genere nella riforma del diritto di famiglia: una lettura luhmanniana

La igualdad ante la ley es uno de los derechos fundamentales de las Constituciones modernas. Sin embargo, hay algo más. De hecho podría decirse que los modernos sistemas jurídicos se han ido formando alrededor de la idea de igualdad. El valor de la igualdad parece expresar una manera común de entender las relaciones humanas, especialmente en el caso de la igualdad de género, expresamente mencionado por el artículo de las Constituciones democráticas modernas que se refiere al principio de igualdad ante la ley. El presente estudio trata esa forma específica de igualdad que se caracteriza por la paradoja de querer tratar como igual lo que es diferente, o sea, de hacer distinciones sin discriminar. Con este fin nos referimos al enfoque jurídico y al enfoque político del tema como se encuentran en la reforma del derecho de familia. No es un problema de una específica legislación nacional, sino más bien una versión específica de un problema de nivel general. Se trata de la imposibilidad de construir como indistinguible lo que es diferente. El intento político de reformar el derecho de familia para implementar el principio constitucional de igualdad no consigue resolver el problema. Éste vuelve a aparecer por la imposibilidad que el derecho funcione sin crear diferencias. Al mismo tiempo, surgen problemas nuevos relacionado con formas nuevas de organizar la vida familiar.

La relación entre el texto original y su traducción: extranjerización de V. Nabokov y domesticación de M. Tsvetaeva

La traducción ha atraído a profesionales, escritores y aficionados desde tiempos remotos. Desde el primer momento se encendieron los debates sobre la técnica de la traducción, desde Cicerón y Horacio, en los tiempos de Bayt al-hikma y San Jerónimo, hasta el siglo XX, los trabajos de L. Venuti, las teorías filosóficas o la traducción audiovisual. En este artículo intentaremos acercarnos a un asunto tan interesante como la relación entre el texto original y su traducción. Como modelos para este estudio tomaremos los ejemplos de las traducciones llevadas a cabo por V. Nabokov y M. Tsvetaeva. Analizaremos la evolución de la doctrina de traducción de V. Nabokov y las causas que influyeron en la decisión de M. Tsvetaeva de domesticar un texto original.masculino.

Professionsmaktens framställning av fenomenet ADHD - en diskursanalys

In the body of knowledge surrounding ADHD there is a power struggle regarding which interpretations and perspectives should prevail. Representatives from various scientific disciplines and professions write and publish articles about the diagnosis based on their respective points of view. These articles are the focus of this thesis. Among other things it can be seen in these examined articles that, the prevalence of ADHD is higher amongst established bodies of social care, and that there is a lack of knowledge regarding the diagnosis in social systems such as schools and social services. Our aim with this study is to highlight how professionals within the Swedish contemporary field of knowledge surrounding ADHD create significance and meaning of the phenomenon. Based on Jonathan Potters discourse analysis, we focus on how ADHD is described by professionals in contemporary Swedish articles about ADHD and also on how these descriptions become valid and credible in these texts. The approach used in our case has been article analysis, based on Potter's rhetorical toolbox that includes both theory and method in one. ADHD is widely presented in the articles with descriptions ranging from a cultural disease constructed by prevailing social climate to being a genetic abnormality. Using various rhetorical strategies it is possible to establish totally different groups of interpretative repertoires as all true. In this thesis, we also discuss the possible consequences of these various explanations and constructions within social work and society at large.