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Record W3164634876 · doi:10.1093/fs/knaa264

<i>Canadian Science Fiction, Fantasy, and Horror: Bridging the Solitudes</i> . Edited by <scp>Amy J. Ransom</scp> and <scp>Dominick Grace</scp> <i>Canadian Science Fiction, Fantasy, and Horror: Bridging the Solitudes</i> . Edited by RansomAmy J. and GraceDominick. (Studies in Global Science Fiction.) London: Palgrave Macmillan, 2019. xii + 380 pp., ill.

2020· article· en· W3164634876 on OpenAlexaboutno aff
Paul Scott

Bibliographic record

VenueFrench Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsFantasyMetaphorLiteratureHistoryAllegianceIdeologyMedia studiesArt historyArtSociologyPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Speculative fiction coming from Canada has, perhaps inevitably given the troubled history of different language communities within the country, long been divided into works published in English or in French. This timely study argues that such a dichotomous perspective does not take into account an increasingly globalized context nor the fact that the Canadian speculative-fiction tradition is far richer than the two dominant linguistic strands, as evidenced in a burgeoning indigenous strand of speculative fiction and, more recently, cinema. A magisterial introduction not only charts the Canadian history of the genre but also proposes the metaphor of the bridge to underpin the contributions in the volume. This trope is mined in varied and unexpected ways to denote thematic and ideological bridges for postcolonialism and transnationalism, the construction of myths of national identity, gender gaps, species, and genres. This bridging of the solitudes alluded to in the subtitle gives a loose...

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.113
Threshold uncertainty score0.377

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.009
Science and technology studies0.0090.011
Scholarly communication0.0120.004
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0210.004

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 head0.276
Teacher spread0.263 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2020
Admission routes1
Has abstractyes

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Same venueFrench StudiesSame topicGothic Literature and Media AnalysisFrench-language works237,207