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Record W4376867802 · doi:10.32920/22904729

Collective Trauma as a Personal/Social Concern for Persons within Marginalized Communities

2023· preprint· en· W4376867802 on OpenAlexaffabout
Ken Moffatt, Mirna E. Carranza, Bill Lee, Susan McGrath, Usha George

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsToronto Metropolitan UniversityMcMaster UniversityYork University
FundersHarvard University
KeywordsLesbianPrejudice (legal term)TransgenderOpenness to experienceQueerIdentity (music)TranssexualSociologyCriminologyResistance (ecology)Social psychologyGender studiesPsychology

Abstract

fetched live from OpenAlex

<p>Much of the literature about trauma has conceptualized trauma only as a personal and psychological issue (Herman, 1992). This paper is a departure from this as it attempts to shed light on trauma as a community process such as the complex community responses to the experience of pervasive and ongoing injurious acts. The authors, with assistance from a Social Sciences and Humanities Research Council standard research grant, interviewed participants who are involved in community practice in three marginalized communities within two Canadian urban centers: 1) gay, lesbian, bisexual, transgendered, transsexual, and queer people; 2) Aboriginal people; and 3) Salvadorian refugees to understand social disruption that results from marginalization based on identity. In this paper, we argue that such a disruption, trauma, is shared across communities even if experienced differentially. We found that the participants’ experiences of trauma were expressed as both a personal and as a shared experience. Because of shared community identity, one did not have to experience the traumatic event personally to share in it. The participants of the research understood trauma to be deleterious and harmful but also allowed for an openness and affinity to others within their communities. Thus, trauma, while having serious negative impacts from its origins in social prejudice and mistreatment from outside the community, can also be seen as a basis for organization and resistance within marginalized diverse communities.</p>

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)0.015
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.239
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0040.003
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.661
GPT teacher head0.591
Teacher spread0.069 · 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; both teacher heads agree on what is shown here.

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
Published2023
Admission routes2
Has abstractyes

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Same topicQualitative Research Methods and EthicsFrench-language works237,207