To tell it directly or not: Coding transparency and corruption in Malagasy political oratory
Bibliographic record
Abstract
ABSTRACT This article discusses stylistic and contextual variations in the political oratory (kabary politika) of urban Madagascar. New imported oratorical styles and older styles ofkabaryrepresent competing linguistic markets where political leaders field broader issues of political modernity, fighting government corruption through reforms toward transparency.Kabaryhas become the object of criticism in models for transparent government practice. This has affected the way leaders speak to and about the country, reifying a moral structure arguing what constitutes truth and how speakers understand language as conveying that truth. In this respect, this article describes linguistic and metalinguistic encodings of transparency versus corruption in the political communication styles of highland Malagasy political orators. It looks at how the rhetorical modes of an urban polity are reorganized in ways that reshape vernacular epistemologies of truth in language and shift the production of particular publics and their access to participation in political process. (Madagascar,kabary, oratory, democracy, linguistic variation, language ideology, truth and ethics, public opinion, public culture)*
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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 | 0.007 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".