MétaCan
Menu
Back to cohort
Record W4205753413 · doi:10.1080/02699931.2021.2023108

Why might negative mood help or hinder inhibitory performance? An exploration of thinking styles using a Navon induction

2022· article· en· W4205753413 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCognition & Emotion · 2022
Typearticle
Languageen
FieldPsychology
TopicLearning Styles and Cognitive Differences
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPsychologyCognitive psychologyMoodSocial psychology

Abstract

fetched live from OpenAlex

Theories of affective influences on cognition posit that negative mood may increase cognitive load, causing a decrement in task performance (Seibert & Ellis, [1991]. Irrelevant thoughts, emotional mood states, and cognitive task performance. Memory & Cognition, 19(5), 507–513), or cause a shift to more analytic thinking, which benefits tasks requiring attention to detail (Schwarz & Clore, [1983]. Mood, misattribution, and judgments of well-being: Informative and directive functions of affective states. Journal of Personality and Social Psychology, 45(3), 513–523). We previously reported that individuals who are higher in the trait of emotional reactivity performed better on an inhibitory task with increasing negative mood whereas low-reactive individuals showed the converse pattern (Gabel & McAuley, [2018]. Does mood help or hinder executive functions? Reactivity may be the key. Personality and Individual Differences, 128, 94–99; [2020]. React to act: Negative mood, response inhibition, and the moderating role of emotional reactivity. Motivation and Emotion, 44(6), 862–869). Because high-reactive individuals are more accustomed to negative affect (Nock et al., [2008]. The emotion reactivity scale: Development, evaluation, and relation to self-injurious thoughts and behaviors. Behavior Therapy, 39(2), 107–116), we speculated that negative mood engendered analytic thinking but without a task-incongruent increase in cognitive load – thereby facilitating performance. Here, we induced a heuristic or analytic approach to information processing prior to performance of an inhibitory task and expected different results pending the thinking style induced. In the heuristic condition, increasing negative mood was associated with better performance for high-reactive participants but not their low-reactive counterparts. In the analytic condition, increasing negative mood was associated with better performance irrespective of emotional reactivity. Our results are consistent with the notion that negative mood engenders analytic thinking which may benefit response inhibition provided it does not increase task-incongruent cognitive load.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score0.999

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.111
GPT teacher head0.329
Teacher spread0.218 · 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