Leonard Cohen in French culture: A song of love and hate. A comparison between musical and literary translation
Bibliographic record
Abstract
Since his comeback on stage in 2008, Leonard Cohen (1934-2016) has been portrayed in the surprisingly monolithic image of a singer-songwriter who broke through in the ‘60s and whose works have been increasingly categorised as ‘classics’. In this article, I will examine his trajectory through several cultural systems, i.e. his entrance into both the French literary and musical systems in the late ‘60s and early ’70s. This is an example of mediation brought about by both individual people and institutions in both the source and target cultures. Cohen’s texts do not only migrate between geo-politically defined source and target cultures (Canada and France), but also between institutionally defined musical and literary systems within one single geo-political context (France). All his musical albums were reviewed and distributed there soon after their release and almost his entire body of literary works (novels and poetry collections) has been translated into French. Nevertheless, Cohen’s reception has never been univocal, either in terms of the representation of the artist or in terms of the evaluation of his works, as this article concludes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".