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Record W2126858787 · doi:10.1017/s0047404508090039

To tell it directly or not: Coding transparency and corruption in Malagasy political oratory

2009· article· en· W2126858787 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 in Society · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoliticsPolitySociologyTransparency (behavior)DemocracyPolitical scienceLaw

Abstract

fetched live from OpenAlex

ABSTRACT This article discusses stylistic and contextual variations in the political oratory ( kabary politika ) of urban Madagascar. New imported oratorical styles and older styles of kabary represent competing linguistic markets where political leaders field broader issues of political modernity, fighting government corruption through reforms toward transparency. Kabary has 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)*

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)0.000
metaresearch head score (Gemma)0.000
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 score0.415
Threshold uncertainty score0.707

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.070
GPT teacher head0.459
Teacher spread0.389 · 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