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Record W2105070726 · doi:10.1027//1015-5759.16.1.66

Sociotropy-Autonomy and the Beck Depression Inventory

2000· article· en· W2105070726 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

VenueEuropean Journal of Psychological Assessment · 2000
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsYork University
Fundersnot available
KeywordsPsychologyBeck Depression InventoryAutonomyDepression (economics)Developmental psychologyPersonalityPersonality Assessment InventoryClinical psychologySocial psychologyPsychiatryAnxiety

Abstract

fetched live from OpenAlex

Summary: According to Beck's cognitive theory of depression, individuals who score high on the personality dimensions of either sociotropy or autonomy are considered to be vulnerable to depression. Although past research has provided abundant support for the relationship between sociotropy and depression, very little support has been provided for the relationship between autonomy and depression. Two studies were conducted to investigate the relationship between the items of Beck Depression Inventory ( Beck et al., 1979 ), one of the most commonly used measures in the assessment of an individual's level of depression, and measures of sociotropy and autonomy. In both studies, participants completed the Beck Depression Inventory and various measures of sociotropy and autonomy. The results suggested that the majority of the items of the Beck Depression Inventory were related to measures of sociotropy rather than autonomy. These findings suggest that the lack of support for the relationship between autonomy and depression may be due partially to the specific measures used in the assessment of sociotropy and autonomy as well as depression.

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)0.003
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 score0.836
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.036
GPT teacher head0.363
Teacher spread0.326 · 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