Bibliographic record
Abstract
Singapore 5 11, 525-6 Vietnam 583 anti-discrimination legislation 'brain drain' canada 60 New Zealand 262 'branch plan!' economy, Canada 50 Brazilian crisis (1999), effects on Mexican economy 170 Brierley InvestmenlS, New 'Zealand 234 Brunei Darussalam economic context 11-13 employee relations 36-7 employment law 27-8 geography and population 8-10 human resource management 37 labour market 13-27 organization addresses 38 pay and benefits 33-6 political system 10-11 recruitment and selection 28-9 socio-cultural context 13 training and development 30-3 Brunei Shell Petroleum Companies (BSPC) 23.32.33-4.36, 38 build-opeTate-transrer scheme (BOT), Philippines 398 Bukluran ng Manggagawand Pilipino (BMP) centre, Philippines 434 numipUleras (indigenous people) Guidance and Dcvc:lopment Unit.Brunei Darussalwn 32 Bureau or Women wKi Young Workers, Philippines 4 10 Business Coordinating Council.Mexico ".
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.911 | 0.882 |
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".