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Record W3006845822 · doi:10.1017/s0047404520000032

Emic and essentialist perspectives on Gaelic heritage: New speakers, language policy, and cultural identity in Nova Scotia and Scotland

2020· article· en· W3006845822 on OpenAlexaboutno aff
Stuart Dunmore

Bibliographic record

VenueLanguage in Society · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorUniversity of EdinburghBritish Academy
KeywordsIdentity (music)LinguisticsEmic and eticMinority languageHeritage languageLanguage policyWelshSociologySociolinguisticsFirst languageAnthropologyAesthetics

Abstract

fetched live from OpenAlex

Abstract The concept of the ‘new speaker’ has gained currency in the sociolinguistics of minority languages in the past decade, referring to individuals who have acquired an additional language outside of the home and who make frequent use of it in the course of their daily lives. Policymakers and language advocates in both Scotland and Canada make frequent reference to the role that new speakers may play in the future of the Gaelic language on both sides of the Atlantic, and Gaelic language teaching of various kinds has been prioritised by policymakers as a mechanism for revitalising the language. This article examines reflexes of this policy in the two countries, juxtaposing the ongoing fragility of Gaelic communities with new speaker discourses around heritage, identity, and language learning motivations. In particular, I consider Nova Scotian new speakers’ sense of identity as ‘Gaels’, an ethnonym largely avoided or problematised by Scottish new speakers. (Ethnolinguistic identity, heritage, language revitalisation, new speakers)*

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)0.002
metaresearch head score (Gemma)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score0.300

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0150.022
Scholarly communication0.0070.001
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.351
Teacher spread0.331 · 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
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
Published2020
Admission routes1
Has abstractyes

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