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Record W7006899335

Who Owns Tradition? (Part 1)

2016· article· en· W7006899335 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIntellectual Property and Patents
Canadian institutionsnot available
Fundersnot available
KeywordsFolkloreIntellectual propertyTraditional knowledgeLegislationScholarshipMandateIndigenousPoliticsHuman rights
DOInot available

Abstract

fetched live from OpenAlex

November 11, 2016 "Who Owns Tradition? Reconceptualizing the Protection of Indigenous and Traditional Knowledge" The Spangenberg Center for Law, Technology & the Arts Conference Case Western Reserve University School of Law The Spangenberg Centre on Law, Technology and the Arts held its annual conference on the issue of Intellectual Property, Traditional Knowledge, and Folklore. Focusing on the international aspects of the issue with a US perspective, the conference seeks to revisit and re-examine the theoretical discomfort, and sometimes outright rejection of the possibility of protection of GR, TK and Folklore in mainstream intellectual property discourse in developed countries. The conference will have a multidisciplinary approach drawing on scholarship in intellectual property, cultural and human rights, history and political science and anthropology. After a hiatus of almost 2 years, the 2015 WIPO General Assembly renewed the mandate of WIPO’s Intergovernmental Committee on Intellectual Property and Genetic Resources, Traditional Knowledge and Folklore (IGC) to resume negotiations on an international instrument for the protection of traditional knowledge. In the interim, national and regional legislation on the protection of genetic resources (GR), Traditional Knowledge (TK) and folklore has proliferated in developing countries, largely modeled on the options in the draft text on protection of TK and protection of folklore developed at WIPO. However, in developed countries like the US, Australia and Canada there nevertheless remain significant stakeholders with an interest in such protection, in particular, Native American tribes, Australian Aboriginal peoples and Canadian First Nations, and yet legislation on protection for GR, TK and Folklore has not been forthcoming. A major reason for this lies in the relatively rigid and calcified nature and history of intellectual property protection in such developed economies, making it much more difficult to graft new sui generis forms of protection onto the existing system. Additionally, the theoretical framework justifying such protection has largely been missing from within the narrow intellectual property academic discourse in developed countries, which has largely found little to recommend such protection. With the new international momentum, it may be time to better understand the theoretical frameworks underlying claims for protection of GR, TK and Folklore and draw lessons from related fields of inquiry.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.044
Threshold uncertainty score0.148

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0090.007
Scholarly communication0.0090.008
Open science0.0010.006
Research integrity0.0090.010
Insufficient payload (model declined to judge)0.0440.012

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 head0.066
GPT teacher head0.221
Teacher spread0.155 · 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 designNot applicable
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

Citations0
Published2016
Admission routes1
Has abstractyes

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