Bibliographic record
Abstract
Ask almost anyone who lives in the Arctic, young and old, and they will tell you it is a tricky business to navigate life's risks, whether that's looking after one's mental health or caring for cherished places on the land, camps where generations of families lived and subsisted.Nothing stands still.Even where there is continuity in the named features of the land, perhaps an inuksuk (stone monument, or cairn) marking a famous battle between shamans, the floe edge that disappears and reappears in the same place each year, the scent of the air, the taste of melted glacial water, a place whose memory is marred by misfortune, there is movement and change.Everything is in motion, like a dance linking the earthly and celestial realms.Surveying the sky and the horizon for clues is an important way of knowing in northern societies, a form of gestural knowledge, taking stock, and identifying familiar landmarks.More than that, it is also a way of positioning oneself within what Inuit term sila, which is difficult to translate, but approximates to 'the living realm of the air, atmosphere, and sky'.A deeper understanding of sila is that it is a cosmological life-force that animates the world.Karla Williamson, Kallalliit scholar, envisages sila as a 'force that gives all the living beings air to breathe, and intelligence.With every breath people and animals take, air becomes transformed into energy to be used for intelligence, because as much as there is no life without air, without it there is no intelligence either' (Jessen Williamson 1992: 24).With climate change, the onset of winter ice comes later in the year and its departure in the spring is earlier; this leaves less time for firm shore ice to form, which complicates the lives of humans
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.085 | 0.050 |
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".