Coevolving informatics and shifting gender dynamics in Norwegian politics
Bibliographic record
Abstract
Coevolving informatics and shifting gender dynamics in Norwegian politics Chris Girard, an Associate Professor from the Department of Global and Sociocultural Studies at Florida International University explores education, gender rights and the freedoms of women in Norway. Only one of Norway’s 70 monarchs was a woman over the last thousand years, and now, after great change when universal suffrage was first extended to women in 1913, since 1981, two women have become prime ministers in Norway, serving as heads of state for over 40 per cent of the subsequent four decades. Now, the Norwegian parliament comprises 45 per cent of women legislators, which can partially be attributed to the development of a digital-age layer of information flow, which allowed more Norwegian women to overcome the spatial barriers to government careers that arise from childcare at home. In the present day, there is now a growing demand for educated women counteracts an enduring historical trend extending from the 12th century to the final quarter of the 19th century, when women in Norway had been blocked from higher levels of education.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.032 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".