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
Although various types of group living are widespread in mammals, including humans, the study of the hormonal and genetic underpinnings of nonsexual social behaviour, is in its infancy compared to the analysis of sexual behaviour mechanisms. Oxytocin, vasopressin and gonadal hormones certainly play an important role. Social recognition, where animals identify and recognize other individual conspecifics, is a crucial prerequisite for the occurrence of a wide range of social behaviours. Social recognition is also important for coping with one major cost of life in a group: the increased risk of exposure to parasites and infection. We review recent functional genomic studies on the involvement of oxytocin and oestrogen-receptor genes in the regulation of social recognition in mice and in the ecologically relevant context of parasite recognition and avoidance. Based on quantitative studies of social recognition with gene-knockout mice and with antisense DNA, we propose a four-gene micronet contributing to social recognition. This micronet involves the genes coding for oestrogen receptors alpha (ER-alpha), beta (ER-beta), oxytocin and the oxytocin receptor. In this model, circulating oestrogens promote transcription of (i) oxytocin in the paraventricular nucleus of the hypothalamus through ER-beta and (ii) oxytocin receptor in the amygdala through ER-alpha. This model forms the core around which increasingly complex genetic, hormonal and neural interactions associated with social behaviours and recognition can be organized.
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) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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