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Record W4247480983 · doi:10.1207/s15327043hup2001_2

The Effects of Self-Efficacy on Behavior in Escalation Situations

2007· article· en· W4247480983 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

VenueHuman Performance · 2007
Typearticle
Languageen
FieldDecision Sciences
TopicDecision-Making and Behavioral Economics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologySelf-efficacyNegative feedbackSocial psychologyInteractionPerceptionPositive feedbackStatisticsMathematics

Abstract

fetched live from OpenAlex

Two experiments were conducted to investigate the hypothesis that perceptions of self-efficacy influence, in various ways, behavior in escalation situations. Self-efficacy beliefs for finding oil were measured for 527 petroleum geologists as they decided, at increasing levels of negative feedback in the form of dry wells, whether to persist with an unproductive venture in petroleum exploration. Experiment 1 employed a within-subject design and found a significant main effect of both negative feedback and initial self-efficacy. Differences in intentions to escalate between low and high self-efficacy individuals were apparent at all levels of negative feedback. No moderating effect of self-efficacy, however, was discernible. Experiment 2 employed a between-subjects design and multiple regression analysis. Like Experiment 1, Experiment 2 revealed a significant main effect of negative feedback and initial self-efficacy. Post-feedback self-efficacy was found to mediate the effects of negative feedback on the escalation tendency. Implications of these results for the self-efficacy and escalation literatures are discussed.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.910
Threshold uncertainty score0.276

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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)0.0000.000

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 head0.072
GPT teacher head0.395
Teacher spread0.323 · 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