Oxytocin and Social Sensitivity: Implications for Vulnerability to Stress and Depressive Symptoms
Bibliographic record
Abstract
Oxytocin is a neuropeptide that has been implicated in several prosocial behaviors, such as trust, empathy and social affiliation, and might contribute to mental health disorders marked by social disturbances.Indeed, Chapter 1 indicated that the accumulated evidence points to interactions between oxytocin, and various neuroendocrine, neurotransmitter, and inflammatory processes in the emergence of depressive disorders.However, the v Table of Contents Abstract……………………………………………………………………………………ii Acknowledgments………………………………………………………………………..iv Table of Contents…………………………………………………………………………v List of Tables……………………………………………………………………………viii List of Figures…………………………………………………………………………….ix List of Appendices……………………………………………………………………….xii Introduction………………………………………………………………………………..1 Chapter 1: The Role of Oxytocin in Understanding Depression………………………….3 Introduction………………………………………………………………………..4 The role of oxytocin in depression………………………………………………...7 Animal-based studies……………………………………………………...7 Human-based studies……………………………………………………...8 Oxytocin polymorphisms, prosociality and depression………….13Early-life stress and oxytocin…………………………………….14 Oxytocin and stress reactivity……………………………………18 HPA axis and oxytocin…………………………………………………………..20 Corticotropin releasing hormone (CRH), adrenocorticotropic hormone (ACTH) and glucocorticoids in relation to oxytocin…………………….22 Interpersonal and psychosocial stressors in humans……………..26 Serotonin and oxytocin…………………………………………………………..31 Norepinephrine and oxytocin…………………………………………………….34Dopamine and oxytocin………………………………………………………….37 vi Growth factors and oxytocin……………………………………………………..41 Inflammation and oxytocin………………………………………………………43 Treatments based on oxytocin administration…………………………………...49 Concluding comments…………………………………………………………...50 Chapter 2: Study 1……………………………………………………………………….
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".