Il Nunavut dalla pagina allo schermo: la traduzione audiovisiva di The Snow Walker di Farley Mowat
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This essay takes as its starting points the notion of remediation and the linguistics of subtitling in order to advance a new reading of the audiovisual translation of Farley Mowat’s short story Walk Well, My Brother (1975), whose remediation in film The Snow Walker (2003) is a paramount example of foreignising translation aimed at protecting the ethno-cultural diversity in Canada. Not only such an Inuit film with subtitles as The Snow Walker envisions the clash between Canadian and Inuit cultures but is also a survival tale in the far North examining the relationship between technology and minority cultures. I track through these references and look at the issues – the role of subtitling in the preservation of cultural specificity, subtitling strategies for rendering culture-bound terms, cohesion and coherence in subtitling, segmentation, etc. – which they raise. But my central purpose is to re-read the aforementioned subtitled film by applying the linguistics of subtitling and its text-reduction shifts. I analyse the problems of rendering intra-linguistic and extra-linguistic cultural elements from one language and cultural into another in order to demonstrate the challenge of rendering hybrid forms or multilingualism. Through The Snow Walker, I suggest, subtitling may be considered as an extreme form of foreignisation, a modality which is able to conceptualise cultural diversity thereby avoiding ethnocentric violence.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it