Index
Bibliographic record
Abstract
academic women 41-3 Brazil 185-6 achievement/ascription dimension of culture 65 achievement orientation measurement 81 as success factor 11, 68, 98, 100 women, Mexico 173-4 women, St Vincent 89 women, USA 153-4 see also motivation Adler, N. 38 advertising and gender discrimination, Mexico 165 age, impact on success 127 Canada 140-41 Alsop, Marin 220-21 Altus, W.D. 47 American nationality as success factor 157 Argentina 15, 17, 195-8 gender discrimination 203-5 success factors 61, 205-9 Successful Women study 200-209 women 198-200, 202-3 attributional theory of achievement motivation 35-6 attributions for success, women 35-6 Argentina 205-8 Canada 141-5 Mexico 176-80 St Vincent 85-6 USA 153-7 authoritarian leadership style 108 Babcock, B.A. 43 Bailyn, L. 42 Bandura, A. 10 Barbados 78-80 Successful Women pilot project 84, 87, 90-93 women, motivations for success 60-61 barriers, see gender barriers Bass, B.M. 58 BBC interviews, successful women 220-21
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.690 | 0.517 |
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".