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Record W4412634543 · doi:10.31820/pt.34.2.6

Ispitivanja skala COMPIN-10 i SUCOMP-10

2025· article· en· W4412634543 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

VenuePsihologijske teme · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional Development and Management Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicinePsychologyNeuroscience

Abstract

fetched live from OpenAlex

This study introduces the short Inferiority Complex (COMPIN-10) and Superiority Complex (SUCOMP-10) scales. Participants (N = 4,010; 57% women), aged between 18 and 77 years (M = 29.68, SD = 10.62), were recruited from nine countries and completed the scales online in their native languages. The reliability, dimensionality, and convergent validity of the scales were examined. Satisfactory reliability coefficients were confirmed for both scales. The unidimensional structure of the COMPIN-10 scale was supported across country samples, whereas the SUCOMP-10 scale did not exhibit a unidimensional structure. Additionally, the results indicated that the COMPIN-10 scale only achieved loading invariance, while the SUCOMP-10 scale lacked invariance across countries. The inferiority scores correlated negatively with self-esteem measures, extraversion, agreeableness, and conscientiousness, and the superiority scores correlated positively with self-esteem measures, extraversion, and conscientiousness, confirming the convergent validity of both scales in the respective country samples. The results of this multi-country study indicate that the COMPIN-10 scale is a more robust research instrument; however, further revision and refinement of both scales is recommended.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.702
Threshold uncertainty score0.999

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)0.0020.005

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 head0.043
GPT teacher head0.245
Teacher spread0.202 · 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