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Record W2561339489 · doi:10.1111/jola.12130

Loaded Speech: Between Voices in Indigenous Public Speaking Events

2016· article· en· W2561339489 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Linguistic Anthropology · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of CanadaFonds de Recherche du Québec-Société et CultureFulbright Canada
KeywordsIndigenousContext (archaeology)SociologyPresentation (obstetrics)Media studiesIdentity (music)Gender studiesHistoryAesthetics

Abstract

fetched live from OpenAlex

This paper explores public podium addresses involving identified Indigenous speakers within the context of eco‐Indigenous alliances. In Montreal, the field site, Indigenous podium talk takes place with impressive frequency. These kinds of reflexive, discursive productions are part of a larger trend in staging ethnically reflexive voices in public discourse. Indigenous podium talks serve as important sites for Indigenous communities to engage and seek beneficial relationships from various Canadian publics. Yet, insofar as speakers speak from an identified cultural identity, perennial quandaries around the presentation of the “other” persist. In this article, I examine Indigenous podium talk as a discourse genre through which Indigenous identities and social issues are made recognizable and brought to the attention of non‐Indigenous publics. Through an in‐depth analysis of a single speaking event, focusing on reported speech and pronomial deixis, the interactional demands and possibilities of podium presentations are investigated and related to both the genre and the tar sands dispute that has brought the participants together. Analysis shows the fraught footings available and the sheer delicacy through which speaker and collective voices are presented and aligned to audience and issue, as speakers speak both as and for Indigenous people within the terms of podium talk.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.552
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.078
GPT teacher head0.351
Teacher spread0.273 · 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