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Record W2025046593 · doi:10.1108/01437730210429061

Emotional intelligence, moral reasoning and transformational leadership

2002· article· en· W2025046593 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

VenueLeadership & Organization Development Journal · 2002
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsQueen's University
Fundersnot available
KeywordsPsychologyTransformational leadershipEmotional intelligenceResidenceSocial psychologySupervisorTransactional leadershipMoral reasoningManagementSociology

Abstract

fetched live from OpenAlex

Using university residence staff as our leaders of interest, we explored the association of emotional intelligence and moral reasoning to leadership style and effectiveness. A total of 58 residence staff completed questionnaires assessing their emotional intelligence and moral reasoning. Subordinates ( n =232) rated the residence staff’s leadership behaviours and effectiveness. Residence staff’s supervisors ( n =12) also provided similar effectiveness ratings. Analysis showed that leaders who reported higher levels of emotional intelligence were perceived by their followers as higher in transformational leadership and more effective. Interestingly, having high emotional intelligence was not related to supervisor’s ratings of effectiveness. Supervisors associated greater job effectiveness with higher moral reasoning. Theoretical implications and practical applications of these findings are discussed.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
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
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0320.002

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 head0.225
GPT teacher head0.297
Teacher spread0.073 · 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