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Record W2034824304 · doi:10.1075/lplp.26.1.04pie

Direct vs. indirect attitude measurement and the planning of Catalan in Mallorca

2002· article· en· W2034824304 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

VenueLanguage Problems & Language Planning · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCatalanBalearic islandsValencianSolidaritySociolinguisticsOppressionGeographySociologyRegional scienceLinguisticsPolitical scienceCartographyPolitics

Abstract

fetched live from OpenAlex

Studies of the sociolinguistic situation of Catalan have generally concentrated on Catalonia and have disregarded other territories where Catalan is also native, namely the Valencian Community and the Balearic Islands. Although the three territories share a common history of linguistic oppression, different approaches with respect to language planning on the part of the respective autonomous governments have produced different patterns of sociolinguistic evolution. In this article, the specifics of the island of Mallorca and in particular the sociolinguistic situation of its capital city, Palma, are reviewed. Research on attitudes in the Balearic Islands has made use of direct questionnaires as a tool of analysis. This paper explores the differences between the answers to direct questionnaires and the responses to a matched-guise experiment by way of the traditional distinction between the parameters of status-instrumentality and solidarity-integrativeness. It also proposes that a combination of methods is needed to obtain a clearer picture of the problems still to overcome.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.168
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.080
GPT teacher head0.377
Teacher spread0.297 · 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