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Record W4415976443 · doi:10.24112/ajsotl.53016

The Scholarship of Educational Leadership in Research-intensive University Contexts: Implications for Promotion and Tenure Supervision

2015· article· W4415976443 on OpenAlexaff
Harry Hubball, Anthony Clarke, Huang Hoon Chng, Peter P. Grimmett

Bibliographic record

VenueAsian Journal of the Scholarship of Teaching and Learning · 2015
Typearticle
Language
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsScholarshipPromotion (chess)Context (archaeology)InstitutionCurriculumEducational leadershipHigher educationEngaged scholarship

Abstract

fetched live from OpenAlex

This essay draws on inquiry and experience in research-intensive university (RIU) environments to provide a theoretical framework for the scholarship of educational leadership (SoEL), as well as practical examples for its strategic use within the context of supervising promotion and tenure (P&T) processes. We argue that the SoEL has significant benefits for RIUs: SoEL is strategically aligned with RIU mandates for sustained and productive scholarly activity; SoEL fosters an institutional culture of educational scholarship aimed at enhancing effective, efficient, and strategically aligned curricula and pedagogical practices; and SoEL has the potential to have a significant and strategic impact on P&T supervision. Based on communities of practice and inquiry-based learning, we reason that SoEL is central to well-founded and richly informed institution and Faculty-level educational reform. Applications of SoEL for P&T supervision are provided, as well as key institutional challenges and potential causes for optimism.

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)0.082
metaresearch head score (Gemma)0.151
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0820.151
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.006
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 head0.468
GPT teacher head0.482
Teacher spread0.014 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2015
Admission routes1
Has abstractyes

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