Bois de Villages (Niger): Report of an Investigation Concerning Socio-Cultural and Political-Economic Aspects of the Forest Phase of the Project and Design Recommendations for a Possible Second Phase
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
"Two weeks' field investigation of IDRC village woodlots in the '3M' Arrondissements of Zinder Department supports throe conclusions. First, villagers express substantial and sharpening interest in reforestation. But thus far, IDRC project 3-P-72-0093 has barely tapped it. Second, this failure flows partially from poor performance in the project's research component. Technically feasible reforestation packages - species and planting techniques adapted to facilitate rapid wood production in the local sahelien environment - were to have been developed. To date they have not been. Selective protection of natural regeneration remains probably the most productive reforestation strategy. Peasants have known about this for years; many would like new information. Third, effective local participation in reforestation has been throttled by exclusive reliance in the IDRC project on a community woodlot system, ill-suited in the local socio-political context to serve as a vehicle for reforestation efforts powered and sustained by local people. Family woodlots offer more tangible incentives for participation and should be vigorously advocated."
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it