Bibliographic record
Abstract
A abused children 113, 117 abusive behaviour 114 abusive parents 113 acetylcholine 45, 71 pathways 71 receptors 71 ACTH: see adrenocorticotrophic hormone adaptation 147 adaptive abilities 11, 102 adipose 56, 85 see also: fat adipose storage 56 adrenaline 39, 45-46, 71 adenohypophysis 26, 167 adenosine triphosphate (ATP) 140 adenosylmethionine 110, 120 adolescence 148-149 adrenal cortex 47 adrenal gland 115 adrenal hormones 71 adrenal medulla 45-46 adrenalectomy 56, 167 adrenergic pathways 71 adrenergic receptors 46, 67 adrenocorticotrophic hormone (ACTH) 27, 42-43, 47, 49-52, 115, 167 aerobic metabolism 140 aerobic organisms 80 affection 114 African clawed frog 67 African green monkey 32 ageing 8, 81, 84, 152 antiageing 84 free radical theory of 81 mitochondria theory of 82 population 152 process 150 aggression 24 courtship-related 101 dominance-related 102 intermale 105-106 sexually-related 101 aggressive behaviour 70 agriculture 126, 128 economics of 129 agonist 167 alarm reaction 6, 167 alarming stimuli 6, 167 aldosterone 55, 72 algesia 53 Alzheimer's Disease 153 alkaloids 86 allele 100 allostasis 5, 167 Amazon molly 89 amenorrhea 93 amoeba 15 Sex, Stress and Reproductive Success, First Edition.David A. Lovejoy and Dalia Barsyte.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.761 | 0.529 |
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".