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Record W7016128229

Young Black Men's Embodied Experiences of Traumatic Gun Violence

2022· dissertation· en· W7016128229 on OpenAlexaboutno aff

Bibliographic record

VenueTSpace (University of Toronto) · 2022
Typedissertation
Languageen
FieldSocial Sciences
TopicGun Ownership and Violence Research
Canadian institutionsnot available
Fundersnot available
KeywordsGun violencePoison controlEmbodied cognitionSuicide preventionInjury preventionBlack maleHuman factors and ergonomics
DOInot available

Abstract

fetched live from OpenAlex

This thesis examines the experiences of 10 young Black men who have been impacted by traumatic gun violence either directly through being shot or indirectly by witnessing gun violence in their communities or losing loved ones to gun violence. Few studies have considered the traumatic and embodied impact of gun violence on young Black men. Using trauma theory and embodiment as theoretical frameworks, this research demonstrates how due to the lack of resources and recognition of young Black men’s experiences of traumatic gun violence, young Black men begin to “embody” experiences of traumatic gun violence physically and emotionally. Young Black men’s experiences of gun violence within the city of Toronto continue to be stigmatized, criminalized, and disregarded as a traumatic issue and the main approaches to solving gun violence have focused on criminal justice interventions and policing which do not engage with the actual “embodied trauma” of gun violence. This thesis demonstrates that to understand how young Black men embody traumatic violence we first need to understand how systemic violence and structural oppression, as expressed through racial profiling, over-surveillance, incarceration, police brutality, and experiences of poverty, coincide with the traumatic impact of gun violence, and directly relate to young Black men’s experiences of ongoing exposure to gun violence.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.438
Threshold uncertainty score0.921

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0800.000

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 head0.031
GPT teacher head0.334
Teacher spread0.303 · 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
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
Published2022
Admission routes1
Has abstractyes

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