MétaCan
Menu
Back to cohort
Record W7037192885

Culture Assimilation: Integration of Traditional Practices into Formal Heritage Laws as a Potential Way of Heritage Protection

2013· dissertation· en· W7037192885 on OpenAlexaboutno aff

Bibliographic record

VenueLeiden Repository (Leiden University) · 2013
Typedissertation
Languageen
FieldHealth Professions
TopicMobile Health and mHealth Applications
Canadian institutionsnot available
Fundersnot available
KeywordsSubject (documents)Circumstantial evidenceGovernment (linguistics)Articular cartilage damageDerogationWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

Attitudes toward the past can be recognised in many different ways. European worldview in physical protection of cultural heritage, reflecting in the formal heritage laws, has frequently carved out social elements of such heritage rooted in indigenous societies, for example, the belief of sacredness. This research, therefore, focuses on problems that probably arose during the introduction of Western legal systems to protect cultural heritage in non-Western societies: Indonesia, Zimbabwe, Canada and Australia. From the study on sociology and history of law, it shows that European-based law when first introduced to the regions has very often excluded customary law which obtained social respect. This created a gap between legal comprehension and people who are the subject to law. \nUp to present day these European influences of the legal system regarding to heritage management can still be discerned in international conventions. To bridge this gap, two suggestions are given in this research: one to work cooperatively between the 1972 UNESCO World Heritage and the 2003 UNESCO Intangible Cultural Heritage Conventions; another to reinterpret in situ preservation in the 2001 UNESCO Underwater Cultural Heritage Convention as a way to treat the site with respect. The integration of traditional practices and heritage laws make it possible for indigenous and local people to gain more understanding of the heritage laws and thus to obey to these laws more easily. Hypothetically, the formal heritage laws become more effective.

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)0.004
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.008
Scholarly communication0.0100.008
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.040
GPT teacher head0.336
Teacher spread0.296 · 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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueLeiden Repository (Leiden University)Same topicMobile Health and mHealth ApplicationsFrench-language works237,207