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Record W4366723919 · doi:10.3138/cjpe.016.004

Participant Commitment to the Principles Taught in a Workplace Leadership Seminar in Relation to Personality Type

2001· article· en· W4366723919 on OpenAlexaffvenue
Judy F. Wyspianski, Richard Rancourt, Henry P. Edwards

Bibliographic record

VenueCanadian Journal of Program Evaluation · 2001
Typearticle
Languageen
FieldPsychology
TopicHuman Resource Development and Performance Evaluation
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPsychologyPersonalityIntrospectionPersonality typeInclusion (mineral)Relation (database)Applied psychologySocial psychologyCorporationComputer science

Abstract

fetched live from OpenAlex

Abstract: This study was conducted as part of a leadership seminar offered to the managers of a North American corporation. It describes the development of a custom-designed self-report outcome measure administered in an interview format, and the use of a personality type inventory. The results indicate that there are significant relationships between personality type and reported training outcomes. Participants inclined toward introspection and non-linear problem-solving reported greater commitment to the content of the values-based leadership seminar than did those with personality preferences for deductive reasoning and concrete problem-solving. The approach used in this study to the measurement of training outcomes and the inclusion of personality type as a measure of participant characteristics has potential implications for program evaluators.

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)0.005
metaresearch head score (Gemma)0.023
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 score0.005
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.494
GPT teacher head0.442
Teacher spread0.052 · 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

Citations1
Published2001
Admission routes2
Has abstractyes

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