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Record W4403319839 · doi:10.5206/eei.v34i2.17155

Safely Navigating the "Dangerous Space Between Good Intentions and Meaningful Interventions": A Study on the Use of School Suspensions in Manitoba, Canada

2024· article· en· W4403319839 on OpenAlexaffvenueabout
Lesley Eblie Trudel, W. Keith Davies

Bibliographic record

VenueExceptionality Education International · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Discipline and Inequality
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsPsychological interventionSpace (punctuation)PsychologyPedagogySociologySocial psychologyCriminologyComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

This qualitative study delves into the perspectives of school leaders in a Canadian province, exploring their views on student suspensions and alternative approaches to school discipline. Amid a provincial advocacy organization’s call for a review and reduction of suspensions in that jurisdiction, the study captures both constructive and critical views of school leaders on the practice. Findings reveal a general endorsement of the authority to suspend students under specific conditions. School leaders are, however, conflicted about what constitutes the condition of imminent safety risk, and they advocate for discretion in making that determination. Proposing progressive-discipline strategies as alternatives, they underscore the necessity of available external resources from provincial social systems to ensure the viability and success of suggested alternatives. Collectively, this study navigates the landscape of school discipline, emphasizing the delicate balance between maintaining order and fostering an environment that is conducive for all involved in supporting student success.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.337
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.268
GPT teacher head0.440
Teacher spread0.172 · 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

Citations1
Published2024
Admission routes3
Has abstractyes

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