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Record W4390113727 · doi:10.1111/papt.12515

At the mercy of myself: A thematic analysis of beliefs about losing control

2023· article· en· W4390113727 on OpenAlexafffund
Kenneth Kelly‐Turner, Adam S. Radomsky

Bibliographic record

VenuePsychology and Psychotherapy Theory Research and Practice · 2023
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsConcordia University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyAnxietyShameSadnessThematic analysisRegretHarmCognitionPsychological interventionHumiliationSocial psychologyControl (management)Schema (genetic algorithms)Clinical psychologyDevelopmental psychologyQualitative researchAngerPsychiatry

Abstract

fetched live from OpenAlex

PURPOSE: Concerns about the likelihood, consequences, and meaning of losing control are commonplace across anxiety-related disorders. However, several experimental studies have suggested that individuals without a diagnosis of a mental disorder also believe that they can and will lose control under the right circumstances. Understanding the range of beliefs about the nature and consequences of losing control can help us to better understand the continuum of negative beliefs about losing control. METHODS: The present study used thematic analysis to identify common beliefs about losing control in an unselected sample. Twenty-one participants, half of whom met criteria for at least one anxiety-related disorder, were interviewed about their beliefs about losing control. RESULTS: All 21 participants reported that losing control was possible. Losses of control were defined as multifaceted cognitive-behavioural processes and were seen as negative considering the perceived consequences of the losses. Commonly described consequences were harm to oneself or others, powerlessness, and unpleasant emotions during (e.g., sadness, frustration, and anxiety) and following (e.g., regret, shame, and humiliation) a loss of control. CONCLUSIONS: These results suggest that perceived losses of control are common and that negative beliefs about losing may only become problematic when the losses are personally significant. Further, they offer important insight into what is common among clinical and non-clinical beliefs about losing control and inform how these beliefs might be worth targeting in cognitive and behavioural interventions.

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)0.011
metaresearch head score (Gemma)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.006
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.136
GPT teacher head0.513
Teacher spread0.377 · 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 designOther design
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

Citations8
Published2023
Admission routes2
Has abstractyes

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