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Record W2753600449 · doi:10.1111/nana.12347

Language as a public good and national identity: Scotland's competing heritage languages

2017· article· en· W2753600449 on OpenAlexaff
Chris Chhim, Éric Bélanger

Bibliographic record

VenueNations and Nationalism · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsMcGill University
Fundersnot available
KeywordsScotsIdentity (music)PoliticsNational identityGovernment (linguistics)Political scienceCultural identityLinguisticsLanguage policyPublic opinionSociologyLawAesthetics

Abstract

fetched live from OpenAlex

Abstract The preservation of one or several historically and culturally important languages may be a salient political issue in some polities. Although they may not be used as an active means of communication, these languages can also serve a symbolic identitary function. These ‘heritage’ languages can be seen as ‘public goods’ and that even non‐speakers of these languages can have opinions regarding their importance to national identity. In the Scotland example, while Gaelic has been the focus of proactive government legislation and education initiatives, Scots is still struggling for status as a recognised language. Both languages are in some way constituent parts of Scottish identity that at times may seem in competition with one another. Using original survey data, we delve deeper into questions of language, identity and politics in Scotland. First, we describe how public opinion is divided over the importance of Gaelic and Scots to Scottish identity. Second, we use attitudes towards these languages as a dependent variable looking at Scottish identity and attachment. Finally, we use these attitudes towards Gaelic and Scots as an independent variable in models for party identification in Scotland.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.925
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
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 head0.028
GPT teacher head0.366
Teacher spread0.338 · 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.

Study designTheoretical or conceptual
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

Citations9
Published2017
Admission routes1
Has abstractyes

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