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Record W3182808637 · doi:10.51390/vajbts.v1i1.21

Ethology, Neurophysiology, Neuropharmacology, Sex Differences, and Effects of Stress on the Defensive Burying Paradigm: A Review

2021· review· en· W3182808637 on OpenAlexaff
Maya Koblanski, Tristan J Philippe

Bibliographic record

VenueVirginia Journal of Business Technology and Science · 2021
Typereview
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsUniversity of OttawaUniversity of British Columbia
Fundersnot available
KeywordsStressorNeuropharmacologyPsychologyCoping (psychology)NeuroscienceDevelopmental psychologyClinical psychology

Abstract

fetched live from OpenAlex

The defensive burying paradigm can inform how stressor controllability affects stress adaptation, which has clinical implications with regards to adaptive coping responses following presentation with a stressful situation. Active coping (notably defensive burying) is associated with a controllable stressor, promoting stress adaptation, thus decreases stress hormone levels. In opposition, chronic stress and uncontrollable stressors lead to an increase in passive coping behaviours, with elevated stress hormone levels. Several brain regions have been implicated in active and passive coping, as well as neurotransmitter systems, which can be evaluated via pharmacological manipulation. No sex differences were found in defensive burying, although there were effects of sex hormones within sex.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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.

Opus teacher head0.043
GPT teacher head0.369
Teacher spread0.326 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

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