Bibliographic record
Abstract
Este artigo tem como objetivo abordar as interações interculturais que o filme canadense “Professor Lazhar, o que traz boas novas” (“Monsieur Lazhar”, 2012), trata enquanto uma temática universal, sob a luz da noção, oriunda da Semiótica Russa, de semiosfera que se revela apta para traduzir a dinâ- mica de campos culturais em uma formação social. Phillipe Falardeau, cineasta conhecido por tratar de questões contemporâneas sobre a angústia de crianças juntos a pais em conflito (“C’est pas moi je le jure”, 2007), e sobre a invenção de carros híbridos despoluentes em respeito ao ambiente (“Congorama”, 2005), efetua uma tradução fílmica de uma peça teatral de Evelyne de la Chenelière para realizar “Professor Lazhar”. Este mereceu inúmeros prêmios no Canada e na França. O ator Mohamed Fellag interpreta de forma exemplar o professor argelino no filme.Palavras-chave: Semiótica Russa. Conflito. Fronteiras. Regras. Semiosfera.
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.
How this classification was reachedexpand
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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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; both teacher heads agree on what is shown here.
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".