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Record W2965881657

A Perfect Storm for Leading Equity and Inclusion: The Complexities of Policy Development, Varied Student and Adult Learning Needs, and Cultures that Don’t Support Them

2019· article· en· W2965881657 on OpenAlexvenueno aff
Catherine Hands, Kevin Freckelton

Bibliographic record

VenueCanadian Journal of Educational Administration and Policy · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAgency (philosophy)Equity (law)PedagogyPrincipal (computer security)Professional developmentInclusion (mineral)Public relationsSociologyTask (project management)PsychologyMathematics educationPolitical scienceManagementSocial science
DOInot available

Abstract

fetched live from OpenAlex

The case describes an experienced principal’s arrival at a new school, his observations of the school and its teachers, and his experiences as he attempts to ensure all students have access to education, particularly those requiring accommodations or assistive technology. The culture of the school is compartmentalized, and early-, and mid- to late-career teachers do not engage with one another to any extent. While some of the teachers regularly use the technology available in the classrooms, there is a large group of teachers who do not. Communication and competency issues also arise, and the parent community is concerned. The principal has the difficult task of balancing all constituents’ needs and interests while meeting his vision of an equitable and inclusive school. The case includes three activities and accompanying readings that explore different issues that arise. Using a structure-culture-agency framework, the first activity unpacks these concepts in reference to the case components. The second activity takes a closer look at structure and agency through policy development. Lastly, the third activity examines the impact of culture and agency through professional development planning.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.276
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.130
GPT teacher head0.431
Teacher spread0.301 · 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.

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

Citations1
Published2019
Admission routes1
Has abstractyes

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