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Record W4214566398 · doi:10.1080/15575330.2022.2042346

“We don’t talk about Trauma”: El Salvadorians and Community Trauma

2022· article· en· W4214566398 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCommunity Development · 2022
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsToronto Metropolitan UniversityYork UniversityMcMaster University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDiasporaIndigenousSociologyGender studiesColonialismNegotiationPovertyRacismHistorical traumaMulticulturalismSpanish Civil WarPolitical scienceCriminologySocial scienceLawPsychology

Abstract

fetched live from OpenAlex

This article draws upon data from a Canadian study funded by the Social Sciences and Humanities Research Council. The focus was on how trauma has been experienced by three communities who have been historically marginalized: The El Salvadorian community, Indigenous peoples and those identifying as 2STLGBQIA+. The focus of this article is on the Salvadorian diaspora in Canada, which has the shared experience of historical colonial trauma; on-going coloniality leading to civil war; and poverty, leading to forcible displacement. The latter resulted in re-negotiating their lives in the diaspora and transnationally in El Salvador. As with Indigenous and 2STLGBQIA+ communities, Salvadorians in Canada share experiences of multiple oppressions and marginalization based, in part, on perceptions of belonging and worth, rooted in racism. Exploring notions of community development as it exists in diaspora communities must include a history of war, resettlement and marginalization that contribute to trauma at the community level.

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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.568
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.056
GPT teacher head0.330
Teacher spread0.274 · 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