Researching Gender Professions: Nurses as Professionals
Bibliographic record
Abstract
Nurses as professionals of health, childhood education teachers, social workers and caregivers, join a group of“feminine professions” which grew through policies of a welfare state in postwar constructive period, or in times ofpostwar accords (Jones, 1983). These professions are under challenge because of neoliberal policies and practices inthe 21st century. In the paper, we want to give lights to the contradictory situations nurses face, as workers and ascare keepers. Nurses, suffer of a combination of public and private functions, at work, at home, and when caringfamily relatives. The way women feel about their role as professionals, and as women and workers, is illuminative,as we enquired in a funded research developed with nurses in the community of Navarra, Spain, first from 1993 to1996, and next, checking a continuity each ten years, 2006 and next 2016.
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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 | 0.020 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.010 | 0.028 |
| Scholarly communication | 0.010 | 0.019 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".