Bibliographic record
Abstract
The Inuit GiftOn July 7, 2007, I awoke early to a brilliant Arctic sun already high above my hotel in Kotzebue, Alaska.Kotzebue is a town that guidebooks refer to as a "working Arctic town," or what I determined as code for "nothing to see here."Such a description is in stark contrast to nearby Nome, which caters to tourists, Iditarod sledding enthusiasts, and gold rush history seekers.I traveled the extra leg to Kotzebue so I could attend the Inuit Circumpolar Youth Council (icyc) language symposium.The invitation had been extended to me by Nome-born Patricia Cochran, international chair of the Inuit Circumpolar Council (icc). 1 icc represents Inuit people across the Arctic parts of Alaska, Canada, Russia, and Greenland. 2icc has both a youth council and an elders' council in addition to the main political organization.It was a privilege to be invited to the icyc symposium in Kotzebue, but after I accepted, I realized the
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.070 | 0.009 |
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".