MétaCan
Menu
Back to cohort
Record W1502368885 · doi:10.5206/eei.v20i2.7661

Fostering Community and Civic Engagement in Low Income Multicultural Schools through Transformative Leadership

2010· article· en· W1502368885 on OpenAlex
Barbara Bader, Judith Horman, Claire Lapointe

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueExceptionality Education International · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsTransformative learningPedagogyNeighbourhood (mathematics)Transformational leadershipSociologyDemocracyCivic engagementCitizenshipCommunity engagementMulticulturalismPolitical sciencePublic relationsPolitics

Abstract

fetched live from OpenAlex

In this study, we examine how transformative leadership enables students from a low-income and multicultural neighbourhood to learn about democracy, re-sponsible citizenship, and community engagement at school. As part of a graduate seminar on critical pedagogy and cultural studies in education, in-depth group interviews were conducted with students in three different schools. The objective of the study was to give voice to these students and to better un-derstand how and why they had decided to become involved in a democracy-oriented school project. The paper focuses on the results obtained in one of the schools, located in a low-income multicultural neighbourhood, where the students’ authentic process of community and civic engagement was facili-tated by the transformative leadership of the principal, the assistant principals, and the teacher leaders.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.386
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 communication0.0000.001
Open science0.0000.000
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 head0.298
GPT teacher head0.457
Teacher spread0.158 · 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