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Record W4206164187 · doi:10.22215/etd/2020-14024

Placing the City: Exploring John Paskievich’s Photographs of Winnipeg's North End as Visual Cartography

2020· dissertation· en· W4206164187 on OpenAlexaffabout
Katie Lydiatt

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsCarleton University
Fundersnot available
KeywordsPhotographyFraming (construction)Visual artsPortraitCitizenshipSpace (punctuation)Cognitive reframingArtObject (grammar)CartographyGeographyArt historyPoliticsPolitical scienceArchaeologyPsychologyArtificial intelligence

Abstract

fetched live from OpenAlex

Produced over a forty year span starting in 1976, John Paskievich's photographs of the North End of Winnipeg occupy a distinct space in the photographic history of the city.Ranging from local streetscapes to portraits of community members, this diverse grouping of images take on qualities similar to the 'New Documents,' and use irony and the snap shot aesthetic to construct a renewed topography of his community.Taken during his many walks around the North End, these photographs are phenomenologically local.Drawing from Henri Lefebvre's notion of "the social production of space," and Ariella Azoulay's framing of the photograph as an encounter, this thesis argues that these images engage in a practice of 'placing.'Considering the photograph as an active object with the capacity to both produce space and incite citizenship, this project aims to reframe how we conceptualize photography, urban space, and the agency of the spectator.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score0.625

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0190.011
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.057
GPT teacher head0.270
Teacher spread0.213 · 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 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

Citations0
Published2020
Admission routes2
Has abstractyes

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