Bibliographic record
Abstract
Uma certa lembrança: Je me souviens. Ainda adolescente, o cineasta canadense de origem belga Thierry Le Brun, ao chegar ao Canadá, impressionou-se com os slogans nas placas dos automóveis. Com o tempo, seu fascínio só aumentou. Sua curiosidade levou-o, em 2002, a realizar um documentário sobre o significado do slogan “Je me souviens” nas placas automobilísticas no Quebec. Em Un certain souvenir, o cineasta tenta apreender quem é “Je” e do que esse “je” deve se lembrar. Entrevistou quebequenses de várias gerações, buscando captar o significado do slogan para os cidadãos. O resultado é, ao mesmo tempo, lúdico e sério; e eu retomo as duas questões do cineasta, com base em testemunhos tirados do filme, a fim de entender em quem está o enunciador e que programa ideológico subjaz à enunciação.Résumé: Un certain souvenir. Jeune adolescent, le cinéaste canadien d’origine belge Thierry Le Brun a été étonné, à son arrivée au Canada, par les slogans sur les plaques minéralogiques. Avec les années, sa fascination n’a pas diminué et, en 2002, sa curiosité toujours inassouvie l’a conduit à réaliser un documentaire sur la signification de la devise «Je me souviens» sur les plaques minéralogiques du Québec. Dans Un certain souvenir, le cinéaste tente de saisir qui est «Je» et de quoi ce «je» doit se souvenir. Il est donc parti à la rencontre de Québécois de toujours comme récemment arrivés pour tenter d’en comprendre le signifié pour les individus. Le résultat est à la fois sérieux et ludique et je reprends, à mon tour, les deux questions du cinéaste à partir des témoignages dans le film pour tenter de voir clair dans qui est l’énonciateur et quel programme idéologique sous-tend l’énonciation.Mots-clés: identité; énonciation; documentaire; humour; idéologie.Abstract: A Licence to Remember: Je me souviens. Canadian director from Belgian origin Thierry Le Brun, sets off the road to interview people on the meaning of Quebec’s license plates motto «Je me souviens». He interviews Quebecers of various origins to grasp their understanding of who is «Je» and what should be remembered. Each group or individual brings its own interpretation and feeling in ways that vary between sadness, good humor and seriousness. This paper tries to understand both the terms of the statement and the program behind it.Keywords: identity; enunciation; documentary; humor; ideology.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
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".