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Enregistrement W330977287

Social neuroendocrinology of competition

2010· dissertation· en· W330977287 sur OpenAlexfundno aff
Justin M. Carré

Notice bibliographique

RevueBrock University Digital Repository (Brock University) · 2010
Typedissertation
Langueen
DomainePsychology
ThématiqueNeuroendocrine regulation and behavior
Établissements canadiensnon disponible
Organismes subventionnairesBrock University
Mots-clésNeuroendocrinologyCompetition (biology)Data sciencePsychologyEcologyBiologyComputer scienceEndocrinology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The relationship between testosterone concentrations and aggressive behaviour in studies 
\nof people has produced very inconsistent findings. However, one consistent fmding that 
\nhas emerged is that competitive and aggressive interactions potentiate testosterone release 
\nin both human and non-human species. It has been argued that socially-induced 
\nalterations in testosterone concentrations may function to influence ongoing and/or future 
\nsocial behaviour. Nonetheless, few studies have empirically tested this hypothesis. The 
\ncurrent series of experiments was designed to address the extent to which competitioninduced fluctuations in testosterone concentrations were associated with ongoing and/or 
\nsubsequent social behaviour. In Study 1, men (n = 38) provided saliva samples prior to, 
\nand at the conclusion of, the Point Subtraction Aggression Paradigm (PSAP). Although 
\nbaseline testosterone concentrations were not related to aggressive behaviour, there was a 
\npositive correlation between change in testosterone and aggressive behaviour such that 
\nmen who were most aggressive on the PSAP demonstrated the largest increase in 
\ntestosterone concentrations. Furthermore, a rise in testosterone during the PSAP predicted 
\nwillingness to choose a subsequent competitive task. In Study 2, men and women 
\nprovided saliva samples prior to and after competing against a same-sex opponent on the 
\nNumber Tracing Task (NTT). The outcome of the competition was rigged such that half 
\nof the individuals won most of the races, while the other half lost most of the races, thus 
\nexperimentally creating a winner and loser in the laboratory. Following the competitive 
\ninteraction, men and women played the PSAP with their same-sex partner. Results 
\nindicated that men selected the aggressive response (but not reward or protection 
\nresponses), more frequently than women. For men assigned to the loss condition, an increase in testosterone concentrations in response to the NTT predicted subsequent 
\naggressive behaviour. For men assigned to the win condition, an increase in testosterone 
\nconcentrations in response to the NTT predicted subsequent aggressive behaviour, but 
\nonly among those men who scored high on trait dominance. Change in testosterone and 
\ntrait dominance did not predict aggressive behaviour in women. In Study 3, men provided 
\nsaliva samples prior to, during, and at the end of the PSAP. They were randomly assigned 
\nto one of four experimental conditions that differed in the extent to which they were 
\nprovoked and whether they received reward for behaving aggressively (i.e., stealing 
\npoints). Results indicated that baseline testosterone concentrations did not correlate with 
\naggression in any of the experimental conditions. Consistent with Study 1, there was a 
\npositive correlation between change in testosterone and aggressive behaviour among men 
\nwho were provoked, but did not receive reward for aggression (i.e., reactive condition). 
\nMen who were provoked but did not receive reward for aggression enjoyed the task the 
\nmost and were more likely to choose the competitive versus non-competitive task relative 
\nto men assigned to the other experimental conditions. Also, individual differences in 
\naggressive behaviour among these men were positively correlated with the extent to 
\nwhich they enjoyed the task. Together, these studies indicate that testosterone dynamics 
\nwithin the context of competition influence subsequent competitive and aggressive 
\nbehaviours in humans and that testosterone may be a marker of the intrinsically rewarding 
\nnature of costly aggressive behaviour.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,435
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,015
Tête enseignante GPT0,248
Écart entre enseignants0,232 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2010
Routes d'admission1
Résumé présentoui

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