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Record W2942098073

Leadership requirements for school principals: similarities and differences between four competency standards

2019· article· en· W2942098073 on OpenAlexaffvenueabout
Monique Lambert, Yamina Bouchamma

Bibliographic record

VenueCanadian Journal of Educational Administration and Policy · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPrincipal (computer security)Diversity (politics)Context (archaeology)PsychologyCultural diversityProfessional standardsPedagogyInstructional leadershipEducational leadershipMedical educationPublic relationsSociologyPolitical scienceGeographyEngineeringEngineering ethicsMedicine
DOInot available

Abstract

fetched live from OpenAlex

The school principal is responsible for transmitting mission, vision, and values in and out the school, with a stronger, clearer emphasis for the success and well-being of students. Competency standard is defined as a guide that names the behaviours expected for the directions to do an effective job in their schools. This article presents the results of a content analysis of four competency standards for school principals from four different locations; two Canadian provinces (Quebec and Alberta), Australia, and the UnitedStates. Despite the particularities of each context, the four competency standards studied present 85% of similarities. Competencies absent from these standards include technology, cultural diversity, and balance between personal and professional life.

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)0.003
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.182

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.275
GPT teacher head0.437
Teacher spread0.162 · 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 designQualitative
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

Citations16
Published2019
Admission routes3
Has abstractyes

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