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Language and the nation‐state: Challenges to sociolinguistic theory and practice<sup>1</sup>

2008· article· en· W1731996347 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Sociolinguistics · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSociolinguisticsSociologyTransnationalismSocial identity theoryGlobalizationLinguisticsSocial orderEpistemologyGender studiesSocial groupSocial sciencePolitical sciencePolitics

Abstract

fetched live from OpenAlex

Communities, identities, processes, and practices are key linked concepts of concern to research on the role of language in the construction of social relations within the nation‐state. In the current globalizing context, sociolinguistics has begun to recognize the need to reorient studies of language, community, and identity in the nation‐state away from autonomous structure and towards process and practice, in order to capture the ways in which linguistic variation is central to new forms of social organization. Such an approach examines the circulation of communicative, symbolic, and material resources, as well as the trajectories of social actors and of discursive spaces. The example of francophone Canada shows how dominant ideas about language as bounded systems, identities as stable social positions, and communities as uniform social formations are superseded by mobility and multiplicity. Sociolinguistics is well positioned to take on the challenge of addressing how social actors construct such flows and transformations and to contribute to a social theory of globalization, transnationalism, and the new economy.

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.

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)0.006
metaresearch head score (Gemma)0.085
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.439
Threshold uncertainty score0.922

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.085
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.084
GPT teacher head0.444
Teacher spread0.361 · 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