Bibliographic record
Abstract
<section class="abstract"> Nicole Gombay, Making a Living: Place, Food and Economy in an Inuit Community Amber Lincoln Marc Brightman, Vanessa Elisa Grotti, and Olga Ulturgasheva, eds., Animism in Rainforest and Tundra: Personhood, Animals, Plants and Things in Contemporary Amazonia and Siberia Michael A. Uzendoski Sonja Luehrmann, Secularism Soviet Style: Teaching Atheism and Religion in a Volga Republic Mark Calder Tanya Argounova-Low, The Politics of Nationalism in the Republic of Sakha (Northeastern Siberia), 1900-2000: Ethnic Conflicts under the Soviet Regime Anna Bara Sarah Mehlop Strong, Ainu Spirits Singing: The Living World of Chiri Yukie's Ainu Shin'y sh César Enrique Giraldo Herrera Olga M. Cooke, ed., Gulag Studies, Volume 1 Norman Prell Anne Ross, Kathleen Pickering Sherman, Jeffrey G. Snodgrass, Henry D. Delcore, and Richard Sherman, Indigenous Peoples and the Collaborative Stewardship of Nature: Knowledge Binds and Institutional Conflicts Jan Peter Laurens Loovers Anatoly M. Khazanov and Günther Schlee, eds., Who Owns the Stock? Collective and Multiple Property Rights in Animals (vol. 5) Germain Meulemans Books Available for Review </section>
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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 | 0.000 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.031 | 0.080 |
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; both teacher heads agree on what is shown here.
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".