Direct vs. indirect attitude measurement and the planning of Catalan in Mallorca
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".