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Record W2116110259 · doi:10.1002/ocea.5103

<scp>Ő</scp>mie Art and<scp>Ő</scp>mie Artists©

2015· article· en· W2116110259 on OpenAlexaff
Marta Rohatynskyj

Bibliographic record

VenueOceania · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsIndigenousPaintingAsideContext (archaeology)EthnographyOriginalityArtValuation (finance)Visual artsSociologyHistoryAnthropologyLiteratureArchaeologyQualitative research

Abstract

fetched live from OpenAlex

Abstract The bark cloth paintings produced by the women ofŐmie Artists© have in recent years drawn acclaim in the art world for their originality and vibrancy. The artists’ cooperative follows the organisational structures of someAustralianAboriginal art movements, as well as the channels of distribution and valuation of this indigenous art. In spite of what appears to be a major adjustment of traditional cultural forms,Őmie bark cloth paintings are highly valued for their authenticity and the people themselves have been presented in art‐writing as remote and relatively untouched by outside influences. Aside from providing some historical and ethnographic background for this small group of people living inOroProvince inPapuaNewGuinea, the article argues that this particular portrayal of the community and their culture is a product of the meeting of long‐termŐmie aspirations to money and development in interaction with a particular Australian vision of what constitutes authenticity in the context of its former colony,PapuaNewGuinea.

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.087
Threshold uncertainty score0.290

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0040.001
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0870.004

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 head0.088
GPT teacher head0.233
Teacher spread0.145 · 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
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

Citations1
Published2015
Admission routes1
Has abstractyes

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