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Record W1981976701 · doi:10.1558/sols.v3i2.177

The Political Economy of Texts: A Case Study in the Structuration of Tourism

2010· article· en· W1981976701 on OpenAlex
Monica Heller, Joan Pujolar

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

VenueSociolinguistic Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSituatedSociologyTourismIdentity (music)PoliticsField (mathematics)ApprehensionEliteLinguisticsEpistemologyPolitical scienceAesthetics

Abstract

fetched live from OpenAlex

The field of tourism, particularly in linguistic minority contexts, shows how texts are situated within struggles over the legitimization of symbolic and material resources. In order to understand this field, we distance ourselves from some of the prevailing assumptions in discourse analysis, which presents texts and contexts as separate entities for which a certain autonomy can be assumed. We offer instead a view of texts as some among many artifacts produced in communicative practice (and hence in social processes), and which therefore require apprehension as processual, and not as objects. We argue that an ethnographic approach to text production and circulation is central to such forms of analysis. We analyze a sample of texts as embedded in their production by linguistic minority stakeholders in historically situated institutions. We interpret these texts as evidence of discursive and social changes brought about by globalization. We argue that behind texts that formally recall modernizing discourses of language and identity, what we encounter are processes of adjustment towards new economic and political conditions that lead minorities to commodify identity within global markets.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
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 head0.107
GPT teacher head0.525
Teacher spread0.419 · 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