Living with sacred lands: negotiating sustainable heritage management and livelihoods in the Marquesas islands
Bibliographic record
Abstract
Tamara Maric, Belona Mou and Christine Dauphin gave generously of their time, resources and information.In particular, Tamara's scrutiny of various charts and other information pertaining to Marquesan heritage were essential.I would also like to thank Sophie Duron, Pascal Erhel and CODIM for their help and encouragement, and Palimma for allowing me to accompany them on their 2013 tour of Tahuata.In the course of my writing, Manuhi Timau, Marie-Christine Timau, Tia Ihopu, Pascal Erhel and Lon Sichoix all served as helpful points of reference via telephone and Facebook.I owe my introduction to the Marquesas to Barry Rolett and the Andover Foundation for Archaeological Research.Dr. Rolett has been a steadfast friend, supporter and a critical sounding board over the years.I would like to
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".