Bibliographic record
Abstract
JEFF ET PLUTO DO MONTREAL: NOTES ON GLOBALIZATION AND IDENTITY Two films caught my attention shown at Les Rendez-vous du Cinéma Québécois in February 1999: Carole Poliquin's medium-length documentary Turbulence and François Dyotte's medium-length docu-drama Jeff et Pluto. Both were produced in 1998 by independent film companies based in Montréal and Turbulence was co-produced by the NFB. They both raise questions about globalization, marginality, nationhood and identity that are central to our cultural quotidian, and share similar immediate concerns about the particular effects of globalization on Québec society and culture. Carol Poliquin's film Turbulence explores the social and economic parameters of globalization and their ethics in the domain of economics, while Jeff et Pluto offer original observation into the psychological and sociological effects of cultural globalization. In an attempt to answer the pressing question why the rich become richer and the poor poorer, Poliquin structures her film around the...
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".