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Record W3043151072 · doi:10.18357/tar111202019460

The Trauma Within Our Knowledge Bundles

2020· article· en· W3043151072 on OpenAlexvenueno aff
Olivia Caroline Ryan-Schmidt

Bibliographic record

VenueThe Arbutus Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsExperiential knowledgeFace (sociological concept)IndigenousSocial workSpace (punctuation)Field (mathematics)PsychologySociologySocial scienceEpistemologyPolitical scienceComputer scienceEcology

Abstract

fetched live from OpenAlex

Trauma holds a sacred space in the knowledge bundles of many Indigenous helpers, including myself.A knowledge bundle represents the knowledge that an individual holds within themselves. This bundleconsists of experiential knowledge, knowledge shared through teachings, and knowledge received throughgenetic memory. This article explores the potential trauma Indigenous social workers may face priorto practice, within post-secondary programs, and during practice. The literature written by Indigenoushelpers working alongside trauma in the field of social work provides incredibly valuable knowledge forcurrent helpers, as well as for students just beginning their journey into the social work field. How mightIndigenous helpers working within the field of social work care for the trauma they may carry within theirown knowledge bundles? This article examines how Indigenous helpers prepare to work with trauma,how they may navigate trauma within practice, and what happens after re-stimulation of traumatic events.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.979
Threshold uncertainty score1.000

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 studies0.0080.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.062
GPT teacher head0.369
Teacher spread0.306 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2020
Admission routes1
Has abstractyes

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