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Building Publics, Shaping Public Opinion: Interanimating Registers in Malagasy<i>Kabary</i>Oratory and Political Cartooning

2008· article· en· W2097080139 on OpenAlexaff
Jennifer Jackson

Bibliographic record

VenueJournal of Linguistic Anthropology · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPublicsPoliticsCONTESTSolidaritySociologyRhetoricFraming (construction)Media studiesPolitical scienceGender studiesLinguisticsLawHistory

Abstract

fetched live from OpenAlex

This article discusses socially productive aspects of register shifts in political oratory (kabary politika) and political cartoons of the urban capital province of Madagascar, Imerina. In their daily mediated interactions, politicians and cartoonists interanimate varying registers associated with different social fields, effectively framing and navigating particular publics for particular interests. In this context, the article will explore the semiotic process in which registers drawn from different speech contexts—the proverbs of kabary, Christian sermons, and Western political and international development rhetoric—discursively circulate to hearken toward or contest imaginaries of community belonging and solidarity undergirding these publics, the agency of participant roles they presuppose, and the public opinion they entail. [Madagascar, oratory, political cartoons, linguistic variation, publics]

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0120.020
Scholarly communication0.0070.004
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.062
GPT teacher head0.359
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations26
Published2008
Admission routes1
Has abstractyes

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