Bibliographic record
Abstract
Aupaluk est le plus petit village du Nunavik, avec une population d’environ 200 personnes. Depuis très longtemps, ce territoire est convoité par les compagnies minières en raison de sa concentration élevée en minéraux, mais surtout en fer. Aupaluk est dans la mire de deux compagnies minières juniors canadiennes : Oceanic Iron Ore et Nickel North Exploration. Ces projets suscitent des attentes et des craintes, notamment en raison de leur localisation à proximité du village et du peu d’information disponible. À l’automne 2017, vingt-trois entretiens semi-dirigés ont été menés avec les membres de la communauté afin d’analyser leur position par rapport au développement minier. L’analyse de l’auteure fait ressortir de nombreux obstacles qui empêchent les membres de la communauté d’exprimer leurs préoccupations par rapport aux projets, soit des processus de consultation et de communication inadéquats, la présence de claims miniers historiques dans la région, l’insécurité alimentaire et une certaine pression sociale.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".