Bibliographic record
Abstract
actor groups 49-50 Ghana 36-38, 39, 40 value chain for NTFPs 201-202 ADMADE community-based wildlife management programme 196n Africa demand for bushmeat 239 undernutrition 237-239 see also named countries and regions agriculture COMACO project (Zambia) 192 crop diversification 187, 188, 192 Gola Forest Reserves 16-17, 18-19 practices in Zambia 178-179 agro-forestry 218 aid, international conservation marginalization 110 planning instrument 174 aid architecture, natural resources 9 animal husbandry 149, 154 aquaculture see fish production Asia bushmeat trade 9, 241, 243-244, 245-249 forest dwellers 242-243 markets 244 nutritional status of rural forest people 246, 247 respect for wildlife 248 species of bushmeat 243-244 undernutrition 237-238 urban dwellers 243-244 wildlife consumption 241-245 management 247-249 trade 241, 245-249 asset vulnerability 117 Bata (Equatorial Guinea) 75, 76-77, 78, 79 consumption of bushmeat 80-83, 87, 88-89, 90, 91
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.832 | 0.632 |
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".