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Record W4280607630 · doi:10.1080/13527258.2022.2077805

Heritage languages and language as heritage: the language of heritage in Canada and beyond

2022· article· en· W4280607630 on OpenAlexafffundabout
Jonathan Eaton, Mark Turin

Bibliographic record

VenueInternational Journal of Heritage Studies · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHeritage languageCultural heritage managementCultural heritageValuesVitalityLanguage revitalizationSociologyAcknowledgementMateriality (auditing)PoliticsIndustrial heritageEnvironmental ethicsAestheticsHistoryPolitical scienceArchaeologyLawIndigenousArtComputer science

Abstract

fetched live from OpenAlex

This article draws on recent discourses surrounding intangible cultural heritage (ICH) and its relationship to language preservation, practice, and revitalisation to propose that language be considered a form and practice of heritage in and of itself, not merely a vehicle for the conveyance of ICH. As such, language can serve as a bridge between the often-parallel tracks of tangible and intangible heritage, helping arrive at an understanding of heritage that is broader, more nuanced, and more inclusive. Until now, most scholars have resisted fully characterising language as heritage, viewing ‘heritagisation’ as a threat to the vitality of language rather than embracing language as a boon to the aliveness of heritage. In support of our argument, we draw on examples from Latin America, Asia, and in particular Canada to highlight specific historical and political discourses that determine whose language counts as heritage and whose heritage counts more generally. While certain communities may derive some benefit from an acknowledgement of their language as a form of heritage in service of a language reclamation agenda, the field of heritage will benefit greatly from inviting the vitality of language to enrich its many facets – discourse, practice, materiality, and the interplay among these three.

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 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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.553
Threshold uncertainty score0.860

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.279
Teacher spread0.248 · 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 teacher head, 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

Citations14
Published2022
Admission routes3
Has abstractyes

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