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Record W3114758413 · doi:10.18357/ijcyfs114.2202019987

ELEMENTS IN SCHOOL PRINCIPALSHIP: THE CHANGING ROLE OF PEDAGOGY AND THE GROWING RECOGNITION OF EMOTIONAL LITERACY

2020· article· en· W3114758413 on OpenAlexvenueno aff
Alexander Schneider, Einat Yitzhak-Monsonego

Bibliographic record

VenueInternational Journal of Child Youth and Family Studies · 2020
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsChristian ministryPedagogyEducational leadershipElement (criminal law)LiteracyPsychologyPolitical science

Abstract

fetched live from OpenAlex

This paper examines the changing role of pedagogy and the growing recognition of emotional literacy as an element in school principalship, as perceived by school principals. A model of the “principal’s toolkit” based on three “pillars” of leadership, management, and pedagogy was used, but with the addition of a fourth pillar, emotional literacy. Here we report on a survey of 63 principals and educational executives that was designed to examine principals’ views regarding which tools are required for school principalship, the way they prioritize those tools, and the weight accorded to each. The survey, which took place from September 2009 to July 2010, was conducted through a questionnaire and interviews. Quantitative processing of the questionnaire results was performed, as was content analysis of the open questions and the interviews. The findings clearly define and rate the components of the essential toolkit for principalship as perceived by the principals. Leadership and emotional literacy were rated highest and pedagogy and management lower, which is at odds with the prevailing attempt by the Israeli Ministry of Education to establish pedagogical leadership as the central element in principalship. This paper will explore and explain the phenomenon of change in principalship elements that entails the changing role of pedagogy and the increasing importance of emotional literacy as an element in school principalship.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.182

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.063
GPT teacher head0.368
Teacher spread0.305 · 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 teacher head, 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

Citations2
Published2020
Admission routes1
Has abstractyes

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