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Record W2143134141 · doi:10.1177/1359183512454065

Protecting indigenous cultural property in the age of digital democracy: Institutional and communal responses to Canadian First Nations and Māori heritage concerns

2012· article· en· W2143134141 on OpenAlex
Deidre Brown, George Nicholas

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Material Culture · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsSimon Fraser University
FundersFlinders University
KeywordsIndigenousIntellectual propertyCultural heritageDigitizationTraditional knowledgeReproductionDemocracySociologyEnvironmental ethicsPromotion (chess)Political scienceLawPolitical economySocial sciencePoliticsEcologyEngineering

Abstract

fetched live from OpenAlex

This article presents a comparative study of how Canadian First Nations and New Zealand Māori peoples have employed digital technologies in the recording, reproduction, promotion and discussion of their cultural heritage. The authors explore a selection of First Nations and Māori initiatives that resist or creatively respond to the digitization and electronic dissemination of cultural ‘objects’, knowledges and landscapes as a continuation of social processes that have dynamically endured over more than two centuries. Their comparison also considers the limitations of conventional law in regard to the protection of indigenous cultural and intellectual property. Expressions of traditional knowledge and culture generally fall outside the protection of copyrights and patents, a situation that is often exacerbated when that heritage assumes digital forms.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.879
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.089
GPT teacher head0.259
Teacher spread0.170 · 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