Bibliographic record
Abstract
This chapter offers a better understanding of the major “significant others” of modern Quebec (1960–), the context of their emergence, and the challenges and hopes they bear. What concepts are frequently used to account for the historical and contemporary situation of Quebec, in its fundamental articulations, that is, as a global society, as a type of society? Obviously, this is not a zero-sum game, where ideal-typical characterisations of Quebec would chase each other. Each concept offers a heuristic point of view on Quebec society, illuminating certain aspects of it. The choice of the frames is also a question of interest of knowledge, and it is fortunate that the kaleidoscopic plurality is in order. Nevertheless, we will see two interrelated tendencies at work: a recurrence of the characterisation of Quebec as a “small nation” and the equally recurrent tendency to “normalise” Quebec society (decolonised society, American society, globalised society). In so doing, we will better understand the issues and challenges specific to small nations, as well as their complicated relationship to the standards of “normality” of modern societies.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".