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Record W1963808008 · doi:10.1177/0146167200266003

Control Motivation and Uncertainty: Information Processing or Avoidance in Moderate Depressives and Nondepressives

2000· article· en· W1963808008 on OpenAlexaff
Ann Walker, Richard M. Sorrentino

Bibliographic record

VenuePersonality and Social Psychology Bulletin · 2000
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologyInformation processingCertaintySocial psychologyCoping (psychology)Task (project management)Control (management)Developmental psychologyCognitive psychologyClinical psychology

Abstract

fetched live from OpenAlex

Two studies investigated the uncertainty orientation model of self-regulation as it relates to control motivation in moderate depressives and nondepressives. It was hypothesized that moderately depressed persons would be more likely than nondepressed persons to process information when control deprived, as opposed to nondeprived, only if they were uncertainty oriented. Certainty-oriented persons were expected to decrease information processing under these conditions. Participants differing in uncertainty orientation and depression level were assessed for information processing following control deprivation or no deprivation. In Study 1, desire for information about the deprivation task was assessed and participants were given a second performance task. In Study 2, information seeking was measured while reading about social outcomes. The expected three-factor interaction was found to be significant on measures of information seeking and performance in both studies. A model to represent these findings is proposed, as are implications for research on depression, coping, and control.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.893
Threshold uncertainty score1.000

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)0.0010.000

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 head0.049
GPT teacher head0.375
Teacher spread0.327 · 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.

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

Citations26
Published2000
Admission routes1
Has abstractyes

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