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Record W7133465165

Dreaming Emu: Indigenous cultural empowerment through art as therapy - Men & healing from the violence of colonisation

2011· other· en· W7133465165 on OpenAlexaboutno aff
Dwayne Wannamarra Wyndier Kennedy, Rebecca Spence, Brian Denman

Bibliographic record

VenueRUNE (Research UNE) · 2011
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousIdentity (music)NarrativeColonialismEmpowermentMetaphorDecolonizationMetis
DOInot available

Abstract

fetched live from OpenAlex

This study investigates an Aboriginal Australian Indigenous epistemology through narrative analysis by contextualising colonial history within a contemporary Aboriginal standpoint approach. This work seeks to understand the place of identity among Aboriginal people with an emphasis on the experience of Indigenous men. Aboriginal male identity is explored as a place of fracture, disintegration, healing and empowerment. The practice of Indigenous epistemology and knowing or research is facilitated by the use of post-colonial narrative analysis, (auto)-ethnography, and Aboriginal arts-speak through the sharing of analysis-as-story. The central metaphor of the study is the Dreaming Emu artwork that provides a visual and epistemic meeting place for the critical work of deconstructing colonial narratives while acknowledging how art-as-process assists in generating new forms of identity among Aboriginal men. Three Aboriginal male artists are discussed, and their experiences of confronting colonial narratives are explored. The work provides an example of pathways that Aboriginal men may follow while they are engaged in the revision of identity and place within the practice of art as culture and spirituality.

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)0.002
metaresearch head score (Gemma)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0070.011
Scholarly communication0.0050.002
Open science0.0010.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.139
GPT teacher head0.410
Teacher spread0.270 · 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
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
Published2011
Admission routes1
Has abstractyes

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