Bibliographic record
Abstract
Pour réussir à moderniser la Loi sur les langues officielles, il faut d’abord définir l’objet d’une telle entreprise. Cela exige que l’on ait une conception claire de l’objet de la Loi. Ensuite, il faut se demander si les défaillances du régime actuel se trouvent au sein de la Loi elle-même ou en ce qui a trait à sa mise en oeuvre sur le plan réglementaire et administratif. Or, à l’heure actuelle, les principales carences relèvent de la mise en oeuvre et non du cadre législatif comme tel. Des défis importants existent par rapport à l’accès aux services et à la langue de travail, mais ils peuvent être affrontés sans modifier de façon substantielle la Loi. Il y a néanmoins certains points sur lesquels la Loi devrait être modifiée, notamment en ce qui concerne l’obligation de l’offre active, la partie VII et des principes d’interprétation.
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 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 | 0.010 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.025 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 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".