MétaCan
Menu
Back to cohort

Moderation of Success and Failure Feedback by Validation Seeking on Affect Change: Implications for Theories of Cognitive Adaptation and Self‐Worth Regulation

2009· article· en· W1492683293 on OpenAlexaff
Péter Horváth, Pamela Wambolt

Bibliographic record

VenueJournal of Applied Biobehavioral Research · 2009
Typearticle
Languageen
FieldPsychology
TopicGrit, Self-Efficacy, and Motivation
Canadian institutionsSocial Sciences and Humanities Research CouncilAcadia University
Fundersnot available
KeywordsPsychologyDysphoriaModerationAffect (linguistics)Coping (psychology)CognitionAnxietyAffect regulationAdaptation (eye)Clinical psychologyDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

The present study examined validation seeking as a form of cognitive adaptation and self‐worth regulation. A total of 88 undergraduates completed questionnaires on validation seeking and affect, a sequence task, and randomly received positive, negative, or neutral feedback on their performance. Validation seeking was associated with anxiety and dysphoria. It also moderated negative feedback to increase dysphoria and positive feedback to increase positive affect and decrease anxiety at posttest. The findings were compatible with the proposition that validation seeking can have positive coping aspects in certain circumstances, and can be more generally conceptualized as a form of cognitive adaptation. The findings extend our understanding of how components in cognitive adaptation and self‐regulation facilitate well‐being.

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)0.010
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.035
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.137
GPT teacher head0.433
Teacher spread0.296 · 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 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
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Applied Biobehavioral ResearchSame topicGrit, Self-Efficacy, and MotivationFrench-language works237,207