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
Modern agricultural practices have led to a decline in our farm animal genetic resources. Changes in the environment or society demands for more ecologically sustainable production systems may require breeds other than those in common use today. Although definitions of levels of concern differ, Canada has a number of endangered breeds which are of cultural and historical interest and which may be useful in future niche markets. Canada has formally ratified the international convention on biological diversity, but funding cuts have jeopardised national programs. The Food and Agriculture Organisation of the United Nations has the mandate to establish an international program for conserving domestic animal diversity and its sustainable use. A major initiative has been the establishment of a data base and training information available through the World Wide Web. New technologies such as microsatellite markers and mathematical modelling offer promise for integration with more traditional live animal conservation methods and are now being incorporated into conservation schemes in a number of countries. Canadian groups involved in livestock and poultry genetic resource conservation must continue to interact to ensure a coordinated approach. Key words: Biodiversity, breed conservation, animal genetic resources
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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