Donne del nord: Vite differenti, fili comuni. Le donne del circolo polare artico si incontrano a Whitehorse (Yukon, Canada)
Bibliographic record
Abstract
This article is about the Women's Circumpolar Conference, that has been in Whitehorse (Yukon, Canada) in November 1999. Hundreds of women, coming from artic nations like Scandinavia, Greenland, Russia, Alaska, Canada (but also from warmer countries like Great Britain and the Mediterranean) go togheter to talk about problems of their social and common life. The event, developed into the spirit of Bejiing's conference, and due to the active community life in Whitehorse, allowed the representative (many of them coming from native communities) to discuss about themes particularly dramatic in the world such as ecology, social isolation and what is leads to, youth politics, physical and cultural survival of native populations. Reading the event, a few months after, helped by some privileged witness, interviewed in Whitehorse in June 2000, I can clearly underline some strong anthropological themes: the peculiarity of Canadian population in the Artic regions in which old and new group of immigrants live together; the delicate balance between man and Artic environnement, that is now endangered by multinational economic operations, women's role yesterday and today in building social links and cultural meanings that can allow people to «live» in this wide and desolate land; the search for «common threads», that go for beyond national borders, through which plan future.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.158 | 0.031 |
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".