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Record W3119503113 · doi:10.3138/jcs-2019-0030

Crafting a Heteronormative Haven: Representations of Sexuality on the Canadian Margin

2020· article· en· W3119503113 on OpenAlexvenueaboutno aff
Gemma Marr

Bibliographic record

VenueJournal of Canadian Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyScholarshipQueerGender studiesCommodificationNarrativeHuman sexualityAestheticsLawPolitical science

Abstract

fetched live from OpenAlex

There is a shortage of scholarship that addresses how sexuality functions in representations of Atlantic Canada. Using contemporary literary, historical, and cultural scholarship alongside theories of metronormativity and rural space, this article offers an exploration of the intertwined histories of heterosexuality and commodified Atlantic Canadian identity. Examining the development of the tourist industry in the region, alongside the growing popularity of cultural products that uphold narratives of regional simplicity, this article thinks through how this homogenized narrative negates the reality of queer and non-conforming desire, experiences, and activism throughout the region’s history and present. Reference to Ashley MacIsaac and the Canadian Broadcasting Corporation’s Anne with an E are used to make this point. Through a focus on the “myths of Maritimeness” at work in a cultural infrastructure that positions Atlantic Canada as a space of rural simplicity, questions are raised not only about how a normative positioning of the margin impacts conceptualizations of life within the region but also about how this representation upholds a particular understanding of life in the Canadian centre.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.780
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.116
GPT teacher head0.333
Teacher spread0.217 · 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 designNot applicable
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
Published2020
Admission routes2
Has abstractyes

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