Science+Business Media B.V. pp.413-426. Two Greenlandic Sea Ice Lists and Some Considerations Regarding Inuit Sea Ice Terms
Bibliographic record
Abstract
The following two lists of the Greenlandic Inuit sea ice terms are the result of field research in Greenland, and they do not pretend in any way to be exhaustive. The first list relates to the language of west Greenland, spoken by approximately 52,000 people, and recognized since 1979 as the official language of Greenland under the name of Kalaallisut (Berthelsen et al. 2004, Sadock 2003). The version presented here was recorded in the community of Qeqertaq in the Disko Bay area of northwest Greenland (see Taverniers in SIKU:Knowing Our ice) and it reflects what is called the “northwest Greenlandic ” subdialect of the Kalaallisut language (Dorais 2003:136). The second list presents the terms of the language of east Greenland, or tunumiisut, spoken by approximately 3,500 people in the municipalities of Ammassalik and
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.865 | 0.891 |
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".