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Record W7033859598

By some trick of the light my skin was darker

2016· dissertation· en· W7033859598 on OpenAlexaff

Bibliographic record

VenueMspace (University of Manitoba) · 2016
Typedissertation
Languageen
FieldSocial Sciences
TopicScience and Science Education
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPaintingIdentity (music)PoetryWhite (mutation)Repetition (rhetorical device)Presentation (obstetrics)
DOInot available

Abstract

fetched live from OpenAlex

The thesis “By Some Trick of the Light my Skin was Darker” explores the driving forces of my work. The title refers to a kind of primal scene in my youth when I first entertained the tensions of being half-native and half-Caucasian. I realized that through a trick of the light caused by the refraction of water I could be native in spite of my white appearance. Using the discourses of colonialism, cultural appropriation, identity politics and an expanded notion of painting that verges on the practices of presentation and display I interrogate the problem of hybridity. I argue my practice of painting is an externalization or literalization of an internal tension that is constitutive of the self. Through stories and experiences of my life on and off the reservation, inside and outside the studio, through written prose and poetic repetition I hope to help viewers better understand the esoteric elements in my work.

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)0.001
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.021
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.009
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0210.005

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 head0.014
GPT teacher head0.244
Teacher spread0.230 · 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
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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