MétaCan
Menu
Back to cohort
Record W4362569718 · doi:10.58734/plc-2023-0006

Outgroup threat and opportunity to derogate: A social neuroscience approach

2023· article· en· W4362569718 on OpenAlexafffundabout
Katherine A. Collins, Kheana Barbeau, Simnthujaa Sampasivam, Catherine Bielajew, Richard Clément

Bibliographic record

VenuePsychology of Language and Communication · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsUniversity of OttawaUniversity of Saskatchewan
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsOutgroupPsychologySocial psychologyDerogationTrier social stress testPerceptionDevelopmental psychologyFight-or-flight responseBiologyNeuroscience

Abstract

fetched live from OpenAlex

<abstract xmlns="http://www.w3.org/1999/xhtml"> Intergroup communication is at the core of intergroup relations. Studies demonstrate that intergroup threat and having an opportunity to derogate the outgroup result in heightened cortisol levels. However, biomarkers associated with different stress systems may show distinct patterns under the same conditions. We investigated whether perceptions of threat and the opportunity to derogate would result in an increase in alpha-amylase levels. White Canadian university students (<italic>N</italic> = 77) read discriminatory or favorable comments that Chinese individuals made towards Canadians. Subsequently, they were given the opportunity to derogate the outgroup. Salivary alpha-amylase was collected at baseline, following the threat, and after the opportunity to derogate. Participants showed an alpha-amylase response to threat, albeit delayed, but no further increase in concentration values due to derogation. The findings illustrate the impact of intergroup communication on physiological stress as well as the importance of using multiple biomarkers to elucidate that relationship. </abstract>

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.822
Threshold uncertainty score0.337

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.105
GPT teacher head0.436
Teacher spread0.331 · 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

Citations0
Published2023
Admission routes3
Has abstractyes

Explore more

Same venuePsychology of Language and CommunicationSame topicSocial and Intergroup PsychologyFrench-language works237,207