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Record W2626050965

Reading by poets Lissa Wolsak and Stephen Collis in Special Collections, Wednesday March 27, 2013

2013· article· en· W2626050965 on OpenAlexaboutno aff
Lissa Wolsak and Stephen Collis Tony Power

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryReading (process)Art historyHistoryCriticismArtLiteratureSociologyMedia studiesClassicsLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Lissa Wolsak, poet and essayist, works as an energy-field therapist and goldsmith in Vancouver. A major collection of her work, Squeezed Light: Collected Works 1994–2005, was published by Station Hill Press in 2010 to many outstanding reviews. A second volume is in the works; in addition,poetry and books are orthcoming from Yellow Edenwald Field, Xeroxial Editions, Tinfish Press, Airfoil, and Above/Ground Press. Recently a special issue of the SFU journal Poetic Front was devoted to scholars and poets responding to her work. “Squeezed Light... is a major event.” - Hank Lazer Stephen Stephen Collis is an award-winning poet, activist, and professor of contemporary literature in SFU’s English Dept. His poetry books include Anarchive (2005), The Commons (2008), On the Material (2010, awarded the BC Book Prize for Poetry), and the forthcoming To the Barricades. He has also written two books of criticism, including Phyllis Webb and the Common Good (2007). His collection of essays on the Occupy movement, Dispatches from the Occupation (2012), comes out of his activist experiences and is a philosophical meditation on activist tactics, social movements, and change. A Jack and Doris Shadbolt Fellow in 2011/12, Collis has read and lectured across Canada, the United States, and Europe. He has three books forthcoming this year, including a first work of fiction.

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: Other · Consensus signal: Other
Teacher disagreement score0.992
Threshold uncertainty score0.637

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0060.002
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.1900.107

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 head0.008
GPT teacher head0.227
Teacher spread0.219 · 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
Published2013
Admission routes1
Has abstractyes

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