Multidimensional scaling of northwest coast faunal assemblages : A case study from southern haida gwaii, British Columbia
Bibliographic record
Abstract
Dans le passe, le « multidimensional scaling» (MDS) a ete utilise avec succes pour analyser des ensembles d'artefacts dans nombreux contextes archeologiques. Malgre l'apparente pertinence d'une telle analysepour les donnees fauniques, le MDS n'a pas ete applique aux etudes fauniques. Dans cette etude, nous avons utilise le MDS pour analyser 21 collections fauniques provenant de 14 sites de la tradition Graham, dans la region de Kunghit dans le sud de Haida Gwaii. La separation entre les ensembles domines par le saumon et ceux domines par le sebaste est le resultat le plus pertinent de notre etude, appuyant ainsi les interpretations anterieures de ces donnees. De plus, l'analyse MDS a revele pour la premiere fois une variabilite fonctionnelle et regionale. La variabilite fonctionnelle s'est refletee par la reconnaissance de differents types de sites, tandis que l'analyse a permis la mise en evidence de la distribution des ressources dans la region. Ces resultats contribuent a la comprehension des schemes d'etablissement et de subsistance des Kunghit Haida, tout en demontrant l'utilite du MDS pour les analyses fauniques.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".