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Record W4402544248 · doi:10.46303/jcve.2024.25

Remembering Lost Lives and Collective Healing from Trauma: Homicides, Incarceration, and Pain-Driven Advocacy in the Jane and Finch Community

2024· article· en· W4402544248 on OpenAlexaffabout
Ardavan Eizadirad, D Jones, Greg Leslie, Tamasha Grant

Bibliographic record

VenueJournal of Culture and Values in Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsNarrativeHistorical traumaSociologyCriminologyGender studiesPolitical sciencePsychologyPsychotherapist

Abstract

fetched live from OpenAlex

This article serves as a vessel for knowledge mobilization and activism as research, intertwining remembrance of lost lives and communal healing by sharing collective pain amongst the authors and bolstering mutual support. Guided by personal encounters with violence including death, homicides, and incarceration, four authors comprising a teacher, social worker, and two community activists, unveil their 20-year+ advocacy journey in the Jane and Finch community in Toronto, Canada including their involvement with programs and services through the non-profit organization Youth Association for Academics, Athletics, and Character Education (YAAACE). The pain and suffering are shared as symptoms of systemic trauma inflicted on the community and how the trauma is perpetuated through institutional neglect for racialized under-resourced communities. The conversations are examined through an intersectional and Critical Race Theory lens, centering life experiences associated with trauma and systemic violence. Lived experiences and emotions are shared as valuable data through duoethnography as a methodology, emphasizing how inspiration is harnessed from the pain and trauma to guide community advocacy. Effective coping and healing strategies are outlined from various vantage points. Overall, the article contributes to filling in the research gap by centering racialized personal narratives in the Canadian context, offering nuanced lessons for integrating research and activism, and showcasing tangible ways to support the needs of youth and families through community-oriented, trauma-informed approaches.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score0.296

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.028
GPT teacher head0.342
Teacher spread0.313 · 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

Citations2
Published2024
Admission routes2
Has abstractyes

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