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Record W2980563216 · doi:10.17953/aicrj.42.4.henderson

Residential School Gothic and Red Power: Genre Friction in Rhymes for Young Ghouls

2018· article· en· W2980563216 on OpenAlexaboutno aff
Jennifer Henderson

Bibliographic record

VenueAmerican Indian Culture and Research Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativePlot (graphics)Power (physics)Stylized factLiteratureSociologySpace (punctuation)AestheticsGirlResidential schoolHistoryArtVisual artsPsychologyLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Rhymes for Young Ghouls is a hyper-stylized film, extremely conscious of the way narrative conventions are organized into genres. In telling a story about a Mi'kmaw girl's leadership of a revenge plot, the film juxtaposes the genres—and the very different models of time-space—of the Gothic novel and the Red Power-era exploitation film. I read this jolting combination as a critical intervention into what I call Residential School Gothic, a dominant discourse on the historical wrong of Indian residential schooling which has emerged in Canada over the past two decades. The film's immanent critique of this public narrative template for telling stories about residential school exposes some of the crucial ways in which Residential School Gothic serves to reconfirm a settler common sense about liberal progress.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
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 head0.020
GPT teacher head0.383
Teacher spread0.363 · 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 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

Citations3
Published2018
Admission routes1
Has abstractyes

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