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Record W2073628439 · doi:10.1037/1040-3590.18.2.182

Further assessment of the HEXACO Personality Inventory: Two new facet scales and an observer report form.

2006· article· en· W2073628439 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePsychological Assessment · 2006
Typearticle
Languageen
FieldPsychology
TopicPersonality Traits and Psychology
Canadian institutionsBrock UniversityUniversity of Calgary
FundersNational Institute of Mental HealthSocial Sciences and Humanities Research Council of Canada
KeywordsFacet (psychology)PsychologyPersonalityPersonality Assessment InventoryPsychometricsBig Five personality traitsPersonality testTest validitySocial psychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

The HEXACO Personality Inventory (HEXACO-PI) operationalizes the six factors obtained from lexical studies of personality structure in several languages. In this study, psychometric properties of the HEXACO-PI were assessed using a community adult sample and also using observer reports, thereby extending the previous investigation relying only on self-reports from a college student sample. In addition to examining the original 24 HEXACO-PI facet scales, the authors also examined two new facet scales--Altruism versus Antagonism and Negative Self-Evaluation--that assess constructs located interstitially among the factors of the HEXACO space. The HEXACO-PI again showed favorable psychometric properties in terms of reliability and factor structure and also showed high levels of self/observer agreement.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0030.000

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 head0.098
GPT teacher head0.448
Teacher spread0.350 · 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