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Record W2613852909 · doi:10.29173/mruhr355

“I Wish to be Free of All Things I Am Not and Will Never Be”: Reorientation of Self Through the (re)Framing of (post)Colonial Consciousness in Marie Clements’ The Edward Curtis Project.

2017· article· en· W2613852909 on OpenAlexaffvenue
Ahmed P. Alkubaisy

Bibliographic record

VenueMount Royal Undergraduate Humanities Review (MRUHR) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsMount Royal University
Fundersnot available
KeywordsColonialismFraming (construction)SociologyOpposition (politics)ConsciousnessWishEnvironmental ethicsMedia studiesAnthropologyHistoryLawPolitical scienceEpistemologyPoliticsPhilosophyArchaeology

Abstract

fetched live from OpenAlex

The works of Edward Curtis are weighty historical records considered as seminal projects that have been the international communities main representations of Aboriginal cultures and their peoples. However, Curtis' projects, as ethno-anthropological work, limit the avenues of representation afforded to Aboriginal peoples; through attempting to preserve an image of authenticity, Curtis' work entraps and filters the multifaceted compontents of Aboriginal culture(s) into a homogenous static group through a colonial lens. In opposition to these colonial standards, contemporary aboriginal literature attempts to carve a path in which Aboriginal people are represented in their own dynamic cultures and identities; the dramatic work of Marie Clements, The Edward Curtis Project, acts as a direct response to the work of Edward Curtis as it (re)frames and problematizes discourse regarding (re)presentation, (post)colonial conscioussness, and the (re)positioning of subject/object dynamics.

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)0.010
metaresearch head score (Gemma)0.010
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 score0.052
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0040.022
Scholarly communication0.0050.007
Open science0.0010.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0020.000

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 head0.042
GPT teacher head0.332
Teacher spread0.290 · 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
Published2017
Admission routes2
Has abstractyes

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