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Michael Snow

2019· book· en· W4243107944 on OpenAlexaboutno aff

Bibliographic record

VenueThe MIT Press eBooks · 2019
Typebook
Languageen
FieldNeuroscience
TopicNeurology and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSnowArtArt historyPhysical geographyGeographyMeteorology

Abstract

fetched live from OpenAlex

Essential texts on the work of the influential artist Michael Snow: essays and interviews spanning more than four decades. Few filmmakers have had as large an impact on the recent avant-garde film scene as Canadian Michael Snow (b. 1928). His works in a range of media—film, installation, video, painting, sculpture, sound, photography, drawing, writing, and music—address the fundamental properties of his materials, the conditions of perception and experience, questions of authorship in technologically reproducible media, and techniques of translation through written and pictorial representation. His film Wavelength (1967) is a milestone of avant-garde cinema and possibly the most frequently discussed “structural” film ever made. This volume collects essential texts on Snow's work, with essays and interviews spanning more than four decades. From its earliest issues, October has been a primary interlocutor of Snow's work, and many of these texts first appeared in its pages. Written by such distinguished critics and scholars as Annette Michelson, Hubert Damisch, and Malcolm Turvey, they document Snow's participation in postwar discourses of minimalism, postminimalism, photo-conceptualism, and avant-garde cinema, and examine particular works. Thierry de Duve's essay on linguistics in Snow's work appears alongside Snow's response. The volume also includes other writings by Snow, images from his 1975 work Musics for Piano, Whistling, Microphone, and Tape Recorder, and an interview with the artist conducted by Annette Michelson. Essays and interviews Jean Arnaud, Érik Bullot, Hubert Damisch, Thierry de Duve, Andrée Hayum, Annette Michelson, Michael Snow, Amy Taubin, Malcolm Turvey, Kenneth White

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.140
Threshold uncertainty score0.750

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.061
GPT teacher head0.250
Teacher spread0.189 · 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 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
Published2019
Admission routes1
Has abstractyes

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