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Record W3082440710 · doi:10.5206/eei.v30i2.11083

Cases Inquiry as Critical Praxis: Supporting Intersectionality Within Inclusive Leadership Practices

2020· article· en· W3082440710 on OpenAlexaffvenue
Jhonel Morvan, Déirdre Smith

Bibliographic record

VenueExceptionality Education International · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsBrock University
Fundersnot available
KeywordsPraxisSociologyPedagogyInclusion (mineral)IntersectionalityGeneral partnershipEducational leadershipPublic relationsPolitical scienceSocial scienceGender studies

Abstract

fetched live from OpenAlex

This article illuminates the significance of exploring intersectionalities within inclusive leadership practices through case inquiry as a critical praxis. Five educational institutions engaged in a partnership focused on exploring the lived practices and professional knowledge of school leaders as they worked towards supporting a vision of inclusive education within their individual school communities. These lived experiences were represented in written cases that have been captured in a provincial resource, Exploring Inclusive Leadership Practices through Case Inquiry (Sider, Maich, Morvan, Specht, & Smith, 2018). Mobilizing the knowledge and practices within this resource and supporting exploration of this knowledge and associated practices through a lens of critical praxis has been one of the key knowledge mobilization components of the June 1, 2019 conference, Exploring Intersectionalities for Leadership and School Inclusion, held at the University of British Columbia. This knowledge mobilization event, along with other initiatives, such as the case resource, helped to foster critical dialogue and interrogation related to leadership practices that can support or hinder a vision and enactment of inclusive education within school communities.

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)0.002
metaresearch head score (Gemma)0.054
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.821
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.054
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.001

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 head0.468
GPT teacher head0.554
Teacher spread0.086 · 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 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

Citations5
Published2020
Admission routes2
Has abstractyes

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