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Record W6990404359

Desire Lines : Displaced Narratives of Place

2023· book· en· W6990404359 on OpenAlexaboutno aff

Bibliographic record

VenueE-Artexte (Artexte) · 2023
Typebook
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101Fusible alloyDemotionParaphernaliaDysgeusia
DOInot available

Abstract

fetched live from OpenAlex

"Desire lines are paths that are created as people move through open urban areas. Well-worn tracks in the dirt show us an everyday that is determined by overlapping drive and intent, spaces carved out in collectivity and in defiance of the structural forces invested in infrastructure and landscaping greenery. Similarly, arts magazine publishing in Toronto, from the 1970s onward, has been a space criss-crossed by lines of desire for access to print as a communication medium with political effect; for organizing labour through mentorship and kinship structures; and for new forms of representation through an analysis of gender, class, and race. \n \nCurated by Felicity Tayler, the exhibition Desire Lines. Displaced Narratives of Place highlights these lines, bounded by metadata describing three magazines published in Toronto between 1978 and 1987 : Fireweed, Border/Lines, and Fuse (formerly known as Centerfold), as well as their network of artists and writers who have mobilized around them. If little distinction is made between magazine founders or attention accorded to the fame of their contributors; the emphasis is instead on connectivity through accumulated co-publishing relationships. These relationships, however, are an incomplete representation of the multiplicity of communities from which these writers emerged; and to wish for comprehensiveness is an expression of desire that looks toward a utopian horizon." -- Publisher's website.

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)0.002
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 score0.151
Threshold uncertainty score0.300

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0130.024
Scholarly communication0.0090.007
Open science0.0010.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.023
GPT teacher head0.245
Teacher spread0.222 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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