Dark humour as a culture specific phenomenon: a study in screen translation

The present study aims at analyzing how dark humour as a cinematic genre travels cross-culturally through a specific mode of audiovisual translation, i.e. dubbing. In particular, it takes into consideration the processes involved in dubbing humour from English into Italian as observed in the English- and Italian-language versions of ten British and American dark comedies from the 1940s to the 2000s. In an attempt to identify some of the main mechanisms of the dark humour genre, the humorous content of the films was analyzed in terms of the elements on which specific scenes are based, mainly the non-verbal and verbal components. In the cases in which verbal elements were involved, i.e. the examples of verbally expressed humour, the analysis was concerned with whether they were adapted into Italian and to what effect. Quantification of the different kinds of dark humour revealed that in the sample of dark comedies verbal dark humour had a higher frequency (85.3%) than non-verbal dark humour (14.7%), which partially disconfirmed the first part of the research hypothesis. However, the significance of contextual elements in the conveying of dark humour, both in the form of Nsp VEH (54.31%) and V-V (V+VE) (21.68%), provided support for the hypothesis that, even when expressed verbally, dark humour is more closely linked to context-based rather than purely linguistic humour (4.9%). The second part of the analysis was concerned with an investigation of the strategies adopted for the translation of verbal dark humour elements from the SL (English) into the TL (Italian) through the filter of dubbing. Four translational strategies were identified as far as the rendering of verbal dark humour is concerned: i) complete omission; ii) weakening; iii) close rendering; and iv) increased effect. Complete omission was found to be the most common among these strategies, with 80.9% of dark humour examples being transposed in a way that kept the ST’s function substantially intact. Weakening of darkly humorous lines was applied in 12% of cases, whereas increased effect accounted for 4.6% and complete omission for 2.5%. The fact that for most examples of Nsp VEH (84.9%) and V-AC (V+VE) (91.4%) a close rendering effect was observed and that 12 out of 21 examples of V-AC (PL) (a combined 57%) were either omitted or weakened seemed to confirm, on the one hand, the complexity of the translation process required by cases of V-AC (PL) and V-AC (CS). On the other hand, as suggested in the second part of the research hypothesis, the data might be interpreted as indicating that lesser effort on the translator/adaptor’s part is involved in the adaptation of V-AC (Nsp VEH) and V-V (V+VE). The issue of the possible censorial intervention undergone by examples of verbal dark humour in the sample still remains unclear.

Subject-specific musculoskeletal models of the lower limbs for the prediction of skeletal loads during motion

The determination of skeletal loading conditions in vivo and their relationship to the health of bone tissues, remain an open question. Computational modeling of the musculoskeletal system is the only practicable method providing a valuable approach to muscle and joint loading analyses, although crucial shortcomings limit the translation process of computational methods into the orthopedic and neurological practice. A growing attention focused on subject-specific modeling, particularly when pathological musculoskeletal conditions need to be studied. Nevertheless, subject-specific data cannot be always collected in the research and clinical practice, and there is a lack of efficient methods and frameworks for building models and incorporating them in simulations of motion. The overall aim of the present PhD thesis was to introduce improvements to the state-of-the-art musculoskeletal modeling for the prediction of physiological muscle and joint loads during motion. A threefold goal was articulated as follows: (i) develop state-of-the art subject-specific models and analyze skeletal load predictions; (ii) analyze the sensitivity of model predictions to relevant musculotendon model parameters and kinematic uncertainties; (iii) design an efficient software framework simplifying the effort-intensive phases of subject-specific modeling pre-processing. The first goal underlined the relevance of subject-specific musculoskeletal modeling to determine physiological skeletal loads during gait, corroborating the choice of full subject-specific modeling for the analyses of pathological conditions. The second goal characterized the sensitivity of skeletal load predictions to major musculotendon parameters and kinematic uncertainties, and robust probabilistic methods were applied for methodological and clinical purposes. The last goal created an efficient software framework for subject-specific modeling and simulation, which is practical, user friendly and effort effective. Future research development aims at the implementation of more accurate models describing lower-limb joint mechanics and musculotendon paths, and the assessment of an overall scenario of the crucial model parameters affecting the skeletal load predictions through probabilistic modeling.