Prepared for the Federal Ministry of Environment Special Climate Change Unit Prepared by the
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
(NASPA-CCN) has been prepared for the Special Climate Change Unit of Nigeria’s Federal Ministry of Environment. It has been prepared by the Building Nigeria's Response to Climate Change (BNRCC) project. This is an advance copy of the NASPA-CCN, made available by the BNRCC project pending publication of the official version of the document by the Ministry. The BNRCC project is executed by ICF Marbek and CUSO-VSO, both of Ottawa, Canada, in partnership with the Nigerian Environmental Study/Action Team (NEST)*. BNRCC is funded by the Canadian International Development Agency. BNRCC PUBLICATIONS/REPORTS LIST This report is one of several publications of the BNRCC project, which are published to encourage knowledge sharing, discussion and action on climate change adaptation. Copies are available from BNRCC by e-mailing info@nigeriaclimatechange.org. Copies are also available electronically at: www.nigeriaclimatechange.org and www.nestinteractive.org. Series A:
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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