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Record W7033763513

RESTORATIVE JUSTICE AND THE EQUITY MATRIX: BRIDGING THE DISCIPLINE GAP

2024· dissertation· en· W7033763513 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2024
Typedissertation
Languageen
FieldSocial Sciences
TopicAcademic Research in Diverse Fields
Canadian institutionsnot available
Fundersnot available
KeywordsEquity (law)Social justiceParticipatory action researchBridging (networking)Focus groupEquity theoryAction researchCitizen journalism
DOInot available

Abstract

fetched live from OpenAlex

This research study aimed to examine current school discipline practices and offer a potential solution for creating more equitable discipline systems. Specifically, it explored the effectiveness of an Equity Matrix tool designed by Van Hesteren (2018), which is grounded in culturally responsive, anti-oppressive practices. The study aimed to determine if the Equity Matrix tool can be used to anticipate and respond to the causes of students’ challenging behaviour. The work was guided by the following research questions: 1) How can school leaders address inequities that students experience with school discipline? 2) What is the experience of school leaders with addressing the root cause of inequities in school discipline? 3) What is the experience of school leaders with the Equity Matrix as a tool for responding to student discipline? 4) How can the Equity Matrix make school leaders’ response to student discipline restorative? \nThe project used Critical Participatory Action Research (CPAR), an approach that allows those who experienced the issue to be the main participants in solving the issue. This approach was impactful because it allowed me to work with school leaders as they gathered data and used the findings and subsequent research cycles to carry out context-specific professional development and improve practice. Another benefit of CPAR is that it can impact change within as little as one school year. The data collected was from interviews and focus group discussions. These participants were school leaders who had relevant experience and knowledge of school discipline policies and practice. \nFindings revealed that the Equity Matrix tool was impactful because it enabled participants to view school discipline through another paradigm and also helped remove barriers for students who were falling through the cracks. There was significant shift for school leaders who reframed their thinking from a deficit orientation blaming students’ character or their families to taking responsibility by adjusting factors within the school environment that were not traditionally considered to support students’ academic achievement. On a larger scale this study increased students’ sense of psychological safety and belonging, contributing to an overall positive school environment. \nThis research provided a framework that addressed the existing challenges within school discipline and advocated for a restorative approach using the Equity Matrix tool. It also provided a powerful approach to school discipline that supported equity, fairness, and student well-being. This study supported the need for Anti-Racist/Anti-Oppressive Administrative Procedures to be developed in Saskatchewan. It also highlighted the need for school division discipline policies to be revised from punitive to restorative. The Equity Matrix tool is a practical solution in addressing systemic inequities that marginalized learners experience and demonstrated potential in closing the achievement gap for all learners.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.189
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0000.002
Open science0.0020.001
Research integrity0.0010.001
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 head0.028
GPT teacher head0.301
Teacher spread0.273 · 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
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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