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Record W4379137424 · doi:10.24124/2023/59396

An elementary school’s engagement with restitution, restorative practices, and circles

2023· dissertation· en· W4379137424 on OpenAlexaffabout
Karen Louise Møller

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicEducation Discipline and Inequality
Canadian institutionsUniversity of Prince Edward IslandUniversity of Northern British Columbia
Fundersnot available
KeywordsRestorative justiceIndigenousRestitutionSociologyThematic analysisShameParticipatory action researchRedressParticipant observationPedagogyCriminologyPolitical scienceQualitative researchLawSocial scienceAnthropology

Abstract

fetched live from OpenAlex

Canadian schools have long employed punitive discipline, a colonial paradigm that is hierarchical and exclusionary. Using Participatory Action Research, two Indigenous and nine non-Indigenous educators collaborated to implement a restorative model into an elementary school in northern British Columbia. Our hybrid of Restitution and Restorative Practices (RRP) and Circles included regional Indigenous protocols. A thematic analysis of participant interviews revealed patterns in the key areas of belonging, cultural safety, trauma informed practice, shame, and decolonizing education. RRP was experienced as an egalitarian model and Indigenous protocols supported community building during Circle practice. Implementation of RRP and Circles (RRP/C) did not represent enough structural change to decolonize discipline, but this hybrid was a relational and holistic model that integrated the Indigenous values of consensus building, interconnection, and harmony. Concerns with the model and its implementation included cultural racism, resistance, vulnerability, shame, and safety.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0000.000
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 head0.116
GPT teacher head0.481
Teacher spread0.365 · 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 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

Citations0
Published2023
Admission routes2
Has abstractyes

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