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Record W4205102645 · doi:10.4000/belphegor.4367

Translation as Counter-Memory: Mainmise and the Making of a Counter-Culture in Quebec

2021· article· en· W4205102645 on OpenAlexaffvenueabout
Carmen Ruschiensky

Bibliographic record

VenueBelphégor · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse multidisciplinary academic research
Canadian institutionsConcordia University
Fundersnot available
KeywordsGreenwichMedia studiesHistorySociologyCultural memoryVisual artsLiteratureAnthropologyArt

Abstract

fetched live from OpenAlex

Published in Montreal between 1970 and 1978, Mainmise was the most important periodical associated with the emerging youth counter-culture movement in Quebec. Its editors drew inspiration from themes that formed the cornerstones of the American counter-culture movement – sex, drugs and rock n’ roll – and trips to American hippy meccas like Haight-Ashbury in San Francisco or Greenwich Village in New York. The magazine’s aesthetic was marked by an eclectic mix of typesetting, handwriting, drawings and photographs. It was also a product of translation. With access to images and texts drawn from over 200 publications (as a member of the Underground Press Syndicate), Mainmise’s editors and contributors translated some of the American movement’s key writings and music, adapted the psychedelic graphic styles of its comics and periodicals, and provided a hub for an alternative social network. This paper examines the evolution of Mainmise over three periods of its publication history. Integrating perspectives from translation studies and memory studies, it develops the idea of counter-memory as a translational phenomenon based on re-identification (the construction of alternative collective references through cultural borrowing and transfer) and re-temporalization (the re-inscription of references in a remembered past or utopic future). I will first discuss the emergence of alternative collective references in post-Quiet-Revolution Quebec to then concentrate on Mainmise as a locus of transnational, counter-cultural memory and translation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.046
GPT teacher head0.372
Teacher spread0.326 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2021
Admission routes3
Has abstractyes

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