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Record W99203172

Perceived control, influence, responsibility, and helplessness in situations of choiceless control.

2005· article· en· W99203172 on OpenAlexaboutno aff
Lynn A. Perreault

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2005
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsLearned helplessnessControl (management)Social psychologyPsychologyPerceived controlComputer scienceArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

The purpose of the present study was to examine the feasibility of choiceless control in determining perceptions of control, influence, responsibility, and helplessness over outcomes. After reviewing and critiquing some traditional theories and research that exist in the control literature, a new conceptualization of control is presented. Based on research by Nickels et al. (2005), an extended research design was proposed and tested, which examined the separate effects of actual control, choice, and predictability. The present findings show significantly higher ratings of perceived influence under conditions in which individuals made their own choice (whether voluntary or involuntary) between options that made a difference (actual control) in a failed outcome that was predicted. Whereas perceived control ratings were significantly higher with actual control, feelings of responsibility over the outcome were significantly higher when actual control was combined with a voluntary choice. Although feelings of helplessness were not significantly affected, ratings of frustration over the outcome were significantly higher when actual control was combined with the prediction that a failed outcome would occur. The theoretical relevance of these findings is discussed, and the generalizability of the new conceptualization of control is explored in terms of its relation to positive psychology (e.g., humour) and cross-cultural research frameworks.Dept. of Psychology. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2005 .P47. Source: Dissertation Abstracts International, Volume: 66-11, Section: B, page: 6338. Thesis (Ph.D.)--University of Windsor (Canada), 2005.

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)0.004
metaresearch head score (Gemma)0.020
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 score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
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 head0.029
GPT teacher head0.314
Teacher spread0.286 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

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