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Record W4281870601 · doi:10.1002/dev.22293

Effect of social instability stress in adolescence or adulthood on sensitivity to sucrose concentration in a social context in male and female Long‐Evans rats

2022· article· en· W4281870601 on OpenAlexafffund
Racheal A. Herlehy, Stephanie Lim, Shealin H. Murray, Marijn van Wingerden, Cheryl M. McCormick

Bibliographic record

VenueDevelopmental Psychobiology · 2022
Typearticle
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsBrock University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPsychologyContext (archaeology)Social stressDevelopmental psychologyStress (linguistics)Social environmentSensitivity (control systems)Internal medicineEndocrinologyBiologyMedicineSociology

Abstract

fetched live from OpenAlex

Although there is evidence of sex differences in responding to social stress, and that age when stressed matters, females are understudied and adult-stress comparisons are few. Here, we investigated stress effects on reward sensitivity by examining rats' choice of social versus sucrose reward in a continuous spatial allocation design. We predicted social instability stress (SS) in adolescence would result in greater social discounting (spend less time near a novel peer when provided access to sucrose) relative to nonstressed controls (CTLs) and relative to SS in adulthood. All increased sucrose intake as the concentration increased, with no evidence of social discounting. SS males tested soon after the stress had a decrease in intake, whereas those tested long after had an increase in both time near the peer and in intake. CTL and SS females did not differ in intake, although their dose-response curves differed when tested soon after the SS. We also tested whether SS changed the stimulus value of the rat as a social peer; when tested in triads, CTL rats spent similar time in interaction with SS versus CTL rats. In sum, effects of SS on reward sensitivity were greater for males irrespective of administered in adolescence versus adulthood.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score0.611

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.318
Teacher spread0.293 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations5
Published2022
Admission routes2
Has abstractyes

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