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Communicating Citizenship

2019· article· en· W4236528700 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.

Bibliographic record

VenueAnnual Review of Anthropology · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsCitizenshipSubalternSociologyIndigenousSociolinguisticsPoliticsState (computer science)NormativePublic sphereGender studiesImmigrationLinguisticsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Citizenship has become a major topic in anthropology and the study of language (including sociolinguistics) since the early 1990s, with scholars in these fields especially examining the status and political claims of immigrants, refugees, indigenous groups, and other subaltern populations. This article argues that models of communication lie at the heart of debates about citizenship and explores two fundamentally communicative processes: first, the mutual recognition of citizens as citizens, and second, the interpellation by state apparatuses of citizens. It first discusses the emergence of the question of citizenship within anthropology and the study of language. It then considers the tension that arises as any recognition of difference confronts the normative model of citizenship already institutionalized in the state apparatus. Finally, this article examines the interlacing of these scholarly trajectories in one of the premier sites where citizens communicate as citizens: the public sphere.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.921
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.065
GPT teacher head0.514
Teacher spread0.448 · 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