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Record W2289913043 · doi:10.24135/pjr.v11i1.828

Journalism and indigenous public spheres

2005· article· en· W2289913043 on OpenAlexaboutno aff
Michael E. Meadows

Bibliographic record

VenuePacific Journalism Review – Te Koakoa · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Communication, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousJournalismRacismProject commissioningColonialismMedia studiesPublishingSociologyPolitical scienceGender studiesLaw

Abstract

fetched live from OpenAlex

Journalism has played—and continues to play— a crucial role in 'imagining' indigenous people and their affairs for most non-indigenous over racism of the colonial press, institutionalised racism is manifested in the sytematic omission of indigenous voices in the news media. Indigenous sources make up a fraction—between one fifth to one third— of all sources used by journalists in stories about indigenous affairs. This alarming statistic has remained unchanged in Australian journalism for the past 20 years and is a prominant feature of news coverage of Native people in the United States and Canada (Weston, 1996;Meadows, 2001). Adam (1993) reminds us that journalism is 'a form of expression that is an invention. It is a creation—a product of the Imagination—in both an individual and a cultural sense.'

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)0.004
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0060.015
Scholarly communication0.0120.008
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.051
GPT teacher head0.349
Teacher spread0.298 · 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

Citations29
Published2005
Admission routes1
Has abstractyes

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