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Record W1876203568 · doi:10.18357/ijih31200612303

‘From Woundedness to Resilience’: A Critical Review from an Aboriginal Perspective

2006· review· en· W1876203568 on OpenAlexvenueno aff
Barry Lavallee, Lorne Clearsky

Bibliographic record

VenueInternational Journal of Indigenous Health · 2006
Typereview
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)Resilience (materials science)Variety (cybernetics)Psychological resilienceProcess (computing)Environmental ethicsCritical reflectionSociologyOrder (exchange)Engineering ethicsPolitical scienceEpistemologyPsychologyComputer scienceEngineeringSocial psychologyBusinessPhilosophyArtificial intelligence

Abstract

fetched live from OpenAlex

A critical reflection of the recent call for papers by the National Aboriginal Health Organization permits a greater understanding of what is encompassed in the title ‘from woundedness to resilience’. The philosophical basis behind the title reflects a Eurocentric perspective. It is this perspective that places limitations in the sharing of Aboriginal stories of failures and successes.A variety of Aboriginal authors nationally and internationally assist us in engaging in an iterative process in order to deconstruct, reflect, and reconstruct the call for papers. Seeking a decolonized and non-deficit framework facilitates an Aboriginal-centered process that allows the sharing of our urban health and healing stories.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0110.016
Science and technology studies0.0020.004
Scholarly communication0.0040.006
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.043
GPT teacher head0.494
Teacher spread0.451 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations25
Published2006
Admission routes1
Has abstractyes

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