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Record W7161996748 · doi:10.82308/27320

Representation and power : "The eastern door"

2002· dissertation· en· W7161996748 on OpenAlexaboutno aff
Mary Louise. Smith

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsMohawkConceptualizationPoliticsIdentity (music)IndigenousRepresentation (politics)Power (physics)State (computer science)

Abstract

fetched live from OpenAlex

This thesis explores processes of self-representation in Indigenous media by analyzing the work of a weekly newspaper, The Eastern Door, of the Mohawk community of Kahnawake, Quebec (Canada). The thesis examines articulations of power in relations between State and Aboriginal communities, demonstrating the importance of such a medium for the conceptualization of Aboriginal Nation and construction of identity in the contemporary context. The Eastern Door is an important vehicle for communicating Mohawk identity and nationhood, a role it consciously plays, as part of its commitment to political autonomy. Its commitment is shown by its discursive explorations: of avenues, themes chosen, concerns expressed and language used. An element of this commitment is an emphasis on collective and individual behaviour, and on "being" as an expression of Mohawk identity, both of which provide powerful bases of action for the community and in relations with the State. If this thesis underlines that State interest and power are an influence on these processes, it also demonstrates that the Mohawk engagement with cultural politics is influential itself, allowing the Mohawks to develop political strategies vis-a-vis the State, and even to impose political agendas that have to be engaged with by the government.

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)0.004
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 score0.153
Threshold uncertainty score0.305

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0130.035
Scholarly communication0.0130.006
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.020
GPT teacher head0.338
Teacher spread0.318 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

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