976 resultados para Climate for Workplace Discrimination
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Selostus: Viljelyvyöhykkeiden ja kasvumallien soveltaminen ilmastonmuutoksen tutkimisessa: Mackenzien jokialue, Kanada
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Selostus: Maatalous pohjoisilla äärialueilla: ilmastolliset rajoitukset ja ilmaston muutosten vaikutukset viljelyyn
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Understanding the relative importance of historical and environmental processes in the structure and composition of communities is one of the longest quests in ecological research. Increasingly, researchers are relying on the functional and phylogenetic β-diversity of natural communities to provide concise explanations on the mechanistic basis of community assembly and the drivers of trait variation among species. The present study investigated how plant functional and phylogenetic β-diversity change along key environmental and spatial gradients in the Western Swiss Alps. Methods Using the quadratic diversity measure based on six functional traits: specific leaf area (SLA), leaf dry matter content (LDMC), plant height (H), leaf carbon content (C), leaf nitrogen content (N), and leaf carbon to nitrogen content (C/N) alongside a species-resolved phylogenetic tree, we relate variations in climate, spatial geographic, land use and soil gradients to plant functional and phylogenetic turnover in mountain communities of the Western Swiss Alps. Important findings Our study highlights two main points. First, climate and land use factors play an important role in mountain plant community turnover. Second, the overlap between plant functional and phylogenetic turnover along these gradients correlates with the low phylogenetic signal in traits, suggesting that in mountain landscapes, trait lability is likely an important factor in driving plant community assembly. Overall, we demonstrate the importance of climate and land use factors in plant functional and phylogenetic community turnover, and provide valuable complementary insights into understanding patterns of β-diversity along several ecological gradients.
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Selostus: Ilmastonmuutoksen taloudelliset vaikutukset suomalaiseen maatalouteen
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Selostus: Ilmakehä-, sää- ja ilmastoskenaarioiden kehittäminen pohjoisille alueille
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The Iowa Governor’s Office of Drug Control Policy (ODCP) shall comply with all applicable federal and state laws prohibiting discrimination, as well as the State of Iowa’s Equal Opportunity, Affirmative Action and Anti-Discrimination Policy for Executive Branch Employees (Section 2.40 of Iowa Department of Administrative Services Managers and Supervisors Manual). Federal law prohibits discrimination against individuals or groups, either in employment or in the delivery of services or benefits, on the basis of age, race, color, national origin, religion, sex, or disability. State law prohibits discrimination in the areas of employment, housing, credit, public accommodations and education. Under the Iowa Civil Rights Act of 1965, discrimination, or different treatment, is illegal if based on race, color, creed, national origin, religion, sex, sexual orientation, gender identity, pregnancy, physical disability, mental disability, retaliation (because of filing a previous discrimination complaint, participating in an investigation of a discrimination complaint, or having opposed discriminatory conduct), age (in employment and credit), familial status (in housing and credit) or marital status (in credit). State policy requires all employees and applicants for employment in the executive branch be afforded equal access. The intent of this policy is to ensure that employment opportunities, within the executive branch of state government, are accessible to all persons, and that executive branch agencies do not discriminate against any person because of race, creed, color, religion, sex, national origin, age, or physical or mental disability.
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This paper deals with the recruitment strategies of employers in the low-skilled segment of the labour market. We focus on low-skilled workers because they are overrepresented among jobless people and constitute the bulk of the clientele included in various activation and labour market programmes. A better understanding of the constraints and opportunities of interventions in this labour market segment may help improve their quality and effectiveness. On the basis of qualitative interviews with 41 employers in six European countries, we find that the traditional signals known to be used as statistical discrimination devices (old age, immigrant status and unemployment) play a somewhat reduced role, since these profiles are overrepresented among applicants for low skill positions. However, we find that other signals, mostly considered to be indicators of motivation, have a bigger impact in the selection process. These tend to concern the channel through which the contact with a prospective candidate is made. Unsolicited applications and recommendations from already employed workers emit a positive signal, whereas the fact of being referred by the public employment office is associated with the likelihood of lower motivation.
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The purpose of the State of Iowa’s drug testing law—Iowa Code Section 730.5 (& Administrative Code Section 641)—is to enhance worker safety, by creating workplaces that are free of drugs and substance abuse. One tool available to private sector employers is drug testing (inclusive of alcohol testing), that often is coupled with educational efforts as part of a comprehensive drug-free workplace program. Each employer must first decide if drug and/or alcohol testing is appropriate for them. Under Iowa law, workplace drug or alcohol testing is optional for private sector employers. Federal laws or regulations governing drug or alcohol testing supersede state law in Iowa.
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The mission of the Iowa Civil Rights Commission is to end discrimination within the state of Iowa. To achieve this goal, the ICRC must effectively enforce the Iowa Civil Rights Act. The ICRA will be as effective as the Commission is in processing complaints of discrimination. The ICRC undertook significant steps forward in improving the timeliness and competency by which complaints of discrimination are processed. The screening unit was increased with special emphasis on improving the quality and quantity of the analysis of the initial screening decisions. The investigative process for nonhousing cases was completely overhauled. The improved process builds on the screening decision and focuses on the issues raised in that decision. The new process will help the ICRC reduce a significant backlog for non-housing cases. Additionally, we revamped the mediation program by moving to an allvolunteer mediation program. Over 20 Iowa lawyers volunteered to help the ICRC resolve complaints through alternative dispute resolution.
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Due to the existence of free software and pedagogical guides, the use of data envelopment analysis (DEA) has been further democratized in recent years. Nowadays, it is quite usual for practitioners and decision makers with no or little knowledge in operational research to run themselves their own efficiency analysis. Within DEA, several alternative models allow for an environment adjustment. Five alternative models, each of them easily accessible to and achievable by practitioners and decision makers, are performed using the empirical case of the 90 primary schools of the State of Geneva, Switzerland. As the State of Geneva practices an upstream positive discrimination policy towards schools, this empirical case is particularly appropriate for an environment adjustment. The alternative of the majority of DEA models deliver divergent results. It is a matter of concern for applied researchers and a matter of confusion for practitioners and decision makers. From a political standpoint, these diverging results could lead to potentially opposite decisions. Grâce à l'existence de logiciels en libre accès et de guides pédagogiques, la méthode data envelopment analysis (DEA) s'est démocratisée ces dernières années. Aujourd'hui, il n'est pas rare que les décideurs avec peu ou pas de connaissances en recherche opérationnelle réalisent eux-mêmes leur propre analyse d'efficience. A l'intérieur de la méthode DEA, plusieurs modèles permettent de tenir compte des conditions plus ou moins favorables de l'environnement. Cinq de ces modèles, facilement accessibles et applicables par les décideurs, sont utilisés pour mesurer l'efficience des 90 écoles primaires du canton de Genève, Suisse. Le canton de Genève pratiquant une politique de discrimination positive envers les écoles défavorisées, ce cas pratique est particulièrement adapté pour un ajustement à l'environnement. La majorité des modèles DEA génèrent des résultats divergents. Ce constat est préoccupant pour les chercheurs appliqués et perturbant pour les décideurs. D'un point de vue politique, ces résultats divergents conduisent à des prises de décision différentes selon le modèle sur lequel elles sont fondées.
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Quantitative estimates of the range loss of mountain plants under climate change have so far mostly relied on static geographical projections of species' habitat shifts(1-3). Here, we use a hybrid model(4) that combines such projections with simulations of demography and seed dispersal to forecast the climate-driven spatio-temporal dynamics of 150 high-mountain plant species across the European Alps. This model predicts average range size reductions of 44-50% by the end of the twenty-first century, which is similar to projections from the most 'optimistic' static model (49%). However, the hybrid model also indicates that population dynamics will lag behind climatic trends and that an average of 40% of the range still occupied at the end of the twenty-first century will have become climatically unsuitable for the respective species, creating an extinction debt(5,6). Alarmingly, species endemic to the Alps seem to face the highest range losses. These results caution against optimistic conclusions from moderate range size reductions observed during the twenty-first century as they are likely to belie more severe longer-term effects of climate warming on mountain plants.
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Annual Report for the Iowa Civil Rights Commission