Bibliographic record
Abstract
Le Fonds d’exploration minière du Nunavik (FEMN) a vu le jour en 1998. Cette organisation à but non lucratif est issue d’une entente entre le ministère des Ressources naturelles du Québec, l’Administration régionale Kativik et le Conseil régional de développement Kativik. Depuis sa mise sur pied, le FEMN voit à ce que son mandat et ses objectifs soient atteints à travers les différentes activités qui comprennent : 1) la sensibilisation des communautés inuits au développement des ressources minérales et à la promotion du potentiel minéral du territoire ; 2) la formation et l’assistance technique aux prospecteurs inuits ; 3) la réalisation de projets d’exploration minérale propres au FEMN en partenariat avec l’industrie minière ; finalement, 4) la mise en place d’éléments favorisant l’émergence d’un entrepreneuriat inuit dans le domaine de l’industrie minière. Après plus de dix années d’existence, le FEMN a su former une expertise et une main-d’oeuvre locales non seulement disposées à répondre aux besoins des compagnies opérant sur le territoire, mais également prêtes à participer activement au développement des ressources minérales du Nunavik.
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 | 0.001 | 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 | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 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".