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Record W1916022519 · doi:10.20355/c5s887

School Choice, School Culture and Social Justice: A Canadian Case Study

2011· article· en· W1916022519 on OpenAlexaffvenueabout
David Ball, Darren E. Lund

Bibliographic record

VenueJournal of Contemporary Issues in Education · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSchool Choice and Performance
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPrivilege (computing)School choiceFocus groupPedagogySociologyEthnographyEquity (law)Social justicePerceptionData collectionPsychologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

This paper reports on findings from a case study conducted in a public school offering multiple programs of choice. A guiding purpose of the study was to analyze the impact of operating multiple programs of choice in a single school setting on the organizational and lived culture of the school. The urban Alberta school under study offered alternative educational programs in science, Mandarin Immersion, special education and “regular” programs. Multiple methods of data collection followed an ethnographic approach, and included document and policy analysis, field observations, focus groups and semi-structured interviews with administrators, parents, teachers and students from each of the programs. The results reported here focus on related themes of equity and social justice related to analyses of school choice, attending specifically to participants’ understandings of power and privilege, with policy and practice implications. Themes included social class stratifications, marginalization within advantage, perceptions of disempowerment, fragmented school identity, limitations of choice programs, and perceptions of teaching staff quality.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
Threshold uncertainty score0.832

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 communication0.0000.001
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 head0.056
GPT teacher head0.386
Teacher spread0.330 · 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
Published2011
Admission routes3
Has abstractyes

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