Le travail forcé et le travail des enfants dans les chaînes d'approvisionnement canadiennes : rapport annuel 2023-2024
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Le projet de loi d'intérêt public du Sénat S-211, édictant la Loi sur la lutte contre le travail forcé et le travail des enfants dans les chaînes d'approvisionnement et modifiant le Tarif des douanes, a pris effet le 1er janvier 2024. Cette Loi exige que le ou la responsable de chaque institution gouvernementale dont les activités comprennent la production, l'achat ou la distribution de biens au Canada ou à l'étranger présente un rapport annuel au ministre de la Sécurité publique et de la Protection civile, au plus tard le 31 mai de chaque année. Le présent rapport porte sur les mesures prises par le Conseil national de recherches du Canada (CNRC) pour prévenir ou réduire le risque de recours au travail forcé ou au travail des enfants à toute étape de la production de biens achetés entre la date d'entrée en vigueur de la loi et la fin du dernier exercice financier (31 mars 2024).
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.
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: yes | Not applicable | high |
| gpt | no category Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: yes | Other design | low |
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 it