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Record W7100537959

ARTICLECultural Studies ↔ Critical Methodologies • February 2003richlow • Stan Douglas Stan Douglas and the Aesthetic Critique of Urban Decline

2016· article· en· W7100537959 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicDevelopmental and Educational Neuropsychology
Canadian institutionsnot available
Fundersnot available
KeywordsArbitrarinessNarrativeProjection (relational algebra)Movie theaterWork (physics)Semiotics
DOInot available

Abstract

fetched live from OpenAlex

Over the past two decades, Vancouver-based artist Stan Douglas has pro-duced an evolving body of photographic, slide projection and sound, and film and video installation projects. From nascent large-scale panoramic landscape photographs to intellectually probing multimedia narratives on urbanism’s transformations, his works persistently excavate the social, polit-ical, and epistemological arbitrariness of modernity’s claim to progress. Douglas locates his muse in the decrepit past and fabricates, through tech-nical and material means, visual spaces where irrepressible difficulties and dangers, saliencies, and pleasures emerge. Like the best contemporary visual art forms, Douglas’s film and video installations are highly cognitive and perceptual, designed for experience and completion by unforeseeable meanings the viewer may produce. This article explores the implications of Stan Douglas’s work for rethinking the social and cultural contexts of educa-tion today.

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)0.008
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 score0.057
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0160.044
Scholarly communication0.0120.006
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.086
GPT teacher head0.433
Teacher spread0.346 · 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
Published2016
Admission routes1
Has abstractyes

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