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Record W168553535 · doi:10.1163/9789004487154

Where Are the Voices Coming From?

2004· book· en· W168553535 on OpenAlexaboutno aff
Coral Ann Howells

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsRepresentation (politics)Section (typography)Art historyCanadian literatureEthnic groupHistoryFrenchArtLiteratureSociologyAnthropologyHumanitiesPoliticsPolitical scienceLaw

Abstract

fetched live from OpenAlex

This collection of essays focuses on Canadian history and its legacies as represented in novels and films in English and French, produced in Canada mainly in the 1980s and 1990s. The approach is both cross-cultural and interdisciplinary, aiming at articulating Canadian differences through a comparison of anglophone and francophone cultures, illustrated by works treating some of the different groups which make up Canadian society – English-Canadian, Québecois, Acadian, Native, and ethnic minorities. The emphasis is on the problematic representation of Canadianness, which is closely bound up with constructions of history and its legacies – dispossession, criminality, nomadism, Gothicism, the Maritime. The English/French language difference is emblematic of Canadian difference; the two-part arrangement, with one section on Literature and the other on Film, sets up the pattern of relationships between the two forms of cultural representation that these essays explore. Essays in the Literature section are on single texts by such writers as: Margaret Atwood, Tomson Highway, Ann-Marie MacDonald, Anne Michaels, and Alice Munro; Gabrielle Roy, Anne Hébert, Antonine Maillet, Bernard Assiniwi, and Régine Robin. The Film section with its mirror structure both supplements and amplifies this dialogue, extending notions of Canadianness with its emphasis on voices from Quebec and Acadia traditionally ‘othered’ in Canadian history. Filmmakers treated include: Phillip Borsos, Atom Egoyan, Ted Kotcheff, Mort Ransen, and Vincent Ward; Denys Arcand, Gilles Carle, Alanis Obomsawin, Léa Pool, and Jacques Savoie.

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)0.005
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.863
Threshold uncertainty score0.349

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0430.028
Scholarly communication0.0340.016
Open science0.0020.005
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0130.003

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 head0.015
GPT teacher head0.214
Teacher spread0.199 · 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
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

Citations64
Published2004
Admission routes1
Has abstractyes

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