Bibliographic record
Abstract
administration, mail order business, 133 advertising farm shop, 132 mail order business, 133 Agricultural Development and Advisory Service (ADAS), 21 altitude, yields and, 19±20 Angus cattle, 46 animal systems, 98±100 arable production systems, 79±94, 98 crops, 79±80, 86±94 area of, 81 yields, 86 farmyard manure and composting, 82±5 nutrients, 81±2 rotations, 79±80 weeds, 79, 80±81 Argentina, 6 Australia, 6, 123 Austria, 5, 128 dairy farming, 34 grassland in, 16 marketing organic produce in, 124 pig farming in, 61 poultry farming in, 78 sheep farming in, 50 available water capacity (AWC), 20 baby food, 123±4, 128 bacon, 69 banks, finance and, 112 barley, 79, 80, 88, 89, 90 basic slag, 21 beans, 90 Bioland, 159 body condition score (bcs) cattle, 47 sheep, 52 Bordeaux mixture, 91 bovine spongiform encephalopathy (BSE), 146, 168 break-even point, 119 British Organic Farmers and Growers, 145 British Organic Milk Producers (BOMP), 34 British Wool Marketing Brand, 54 Bulgaria, 10 butchers, 138 buyers, talking to, 127±8 cabbages, 94 Canada, 9 dairy farming, 35 cash flow, 109, 110±14 during conversion to organic farming, 113±14 farm shops, 132 improving, 112±14 monthly checking, 111±12 catering outlets, 135±6 cattle, 16, 42±50, 99, 160±63 body condition score, 47 calving, 41±2, 44±5, 47±8 disease management, 49±50, 105 homoeopathy, 156±7 feeding, 35,
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 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) | 0.077 | 0.040 |
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; both teacher heads agree on what is shown here.
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".