MétaCan
Menu
Back to cohort
Record W3156005708 · doi:10.1177/15480518211005455

Towards a Model of Leader Character Development: Insights From Anatomy and Music Therapy

2021· article· en· W3156005708 on OpenAlexaff
Mary Crossan, Cassandra Ellis, Corey Crossan

Bibliographic record

VenueJournal of Leadership & Organizational Studies · 2021
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsWestern University
Fundersnot available
KeywordsCharacter (mathematics)Character developmentActive listeningPsychologyCognitive scienceFunction (biology)Foundation (evidence)CommunicationBiologyHistoryEvolutionary biology

Abstract

fetched live from OpenAlex

Leader character has emerged as a critical foundation for leadership. In spite of the view that leader character can be developed, there has been limited holistic attention to what it takes to develop character. Character requires conscious development, and that conscious development not only requires an understanding of what character is, but how the anatomy of character enables and inhibits character development and expression. By anatomy, we refer to the four underlying anatomical systems—physiology, affect, behavior, and cognition (PABC)—that function independently, and in an interrelated manner, to support the development of character. For illustration, we offer the practice of listening to music as a means to develop character, highlighting the links between the PABC systems and character development.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.018
Scholarly communication0.0050.005
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.214
GPT teacher head0.313
Teacher spread0.099 · 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 designTheoretical or conceptual
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

Citations18
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Leadership & Organizational StudiesSame topicNeuroscience, Education and Cognitive FunctionFrench-language works237,207