Bibliographic record
Abstract
A&P 61 advocacy networks 159-60, 164-6, 174 actors in 162 anti-GMO movement as 171-7 concept of 161-3 food safety 170-71 food scares 170 food sovereignty network 175-7 membership in 163 professionalization of 169-70 transnational (TAN) 160 Agriculture and Agri-Food Canada (AAFC) 61, 101 requested revision of CGSB standards (2002) 100 agricultural production 34 impact of industrializing processes of 5 human costs 6 industrial technologies 5 industrialization 14, 17, 22-3 organic practices 8 Agricultural Research Institute 22 agriculture 148-9, 164, 175, 186 biodynamic techniques 80-81 chemical-based 18, 20-22 corporatization of 66-7 crop yields 17-8 industrialization of 10, 17, 19-20, 36, 50, 137, 139, 143, 152, 172, 181, 192-3 non-chemical 25 regenerative 25 sustainable 25 Ahold 61
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.752 | 0.654 |
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".