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Record W2782308289 · doi:10.17953/aicrj.41.2.harding

Controlling Land: Historical Representations of News Discourse in British Columbia

2017· article· en· W2782308289 on OpenAlexaboutno aff
Robert L. Harding

Bibliographic record

VenueAmerican Indian Culture and Research Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousReferendumTreatyRhetorical questionPoliticsPolitical scienceGovernment (linguistics)LawPolitical economySociologyLinguistics

Abstract

fetched live from OpenAlex

News discourse about treaty issues privileges postcolonial discourses about ownership and governance of land and excludes a wide range of indigenous voices. this paper explores how news items interweave the frame “indigenous peoples as a threat” into their coverage of two events, analyzed as separate case studies, that have significant implications for the control of land in British Columbia. The first case study event is the Nisga'a's 1998 referendum on the Nisga'a Treaty and the second is the 2002 British Columbia Treaty Referendum. Reportage of both events was highly racialized and organized around the presumed threat that indigenous peoples pose to settler values. Discourse orbits around several rhetorical arguments, including “‘our’ government is colluding with First Nations to impose race-based governments on British Columbians; and “the will of the majority must prevail over the political maneuverings of minorities and other ‘special interest groups.'” While news discourse focused on the potentially destructive impact of treaties on settler interests, any discussion of the enormous risks treaties represent for indigenous peoples was completely absent.

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 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 categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.533
Threshold uncertainty score1.000

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 studies0.0040.003
Scholarly communication0.0030.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.371
Teacher spread0.343 · 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 teacher head, not a consensus.

Study designObservational
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

Citations2
Published2017
Admission routes1
Has abstractyes

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