The Arctic CHAR Project: Climate Change Impacts on the Inuvialuit Archaeological Record
Bibliographic record
Abstract
Dans la région du cercle polaire arctique, archéologues et gestionnaires du patrimoine sont de plus en plus préoccupés par la destruction des sites archéologiques due aux changements climatiques actuels. Cet article présente le projet Arctic CHAR créé pour résoudre ce problème dans la région du delta de la rivière Mackenzie, dans le nord-ouest canadien. Plusieurs sites côtiers témoignent de l’histoire des Inuvialuit qui peuplent le delta du Mackenzie. En raison de la fonte du pergélisol et de la hausse du niveau marin relatif, ces sites sont détruits à une vitesse alarmante. Le projet Arctic CHAR se développe sur deux axes principaux : des sondages pour évaluer l’état des ressources patrimoniales à travers la région et la fouille des sites menacés les plus importants.
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How this classification was reachedexpand
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".