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Record W3182783181

Seen and Imagined: A Northwestern Crossroads City

2016· article· en· W3182783181 on OpenAlexaboutno aff
Douglas Harper, Tara Milbrandt

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtArt historyPostmodernismFrontierSociologyEthnologyHistoryLiteratureArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Abstract | This paper is an interpretive study of Edmonton, Alberta that combines photography, written reflection, and analysis. Blending insider and outsider voices and perspectives, the essay represents the city through the imagery of a gritty, postmodern frontier. Edmonton is depicted as the locus of mixed and often contradictory energies, associated in significant ways with its northwestern character. The project developed through a process of photography and dialogue and is by nature suggestive and partial. It offers a visual-sociological engagement with a particular social environment and cultural landscape, whose look and feel are represented through a combination of photographic images and written text.Resume | Cet article est une etude interpretative de la ville d’Edmonton qui combine photographie, reflexion ecrite et analyse. En melant des points de vue externes et internes, cet essai represente la ville a travers l’imagerie d’une frontiere postmoderne realiste. Edmonton est peinte comme un lieu d’energies diverses et souvent contradictoires, qui sont associees de maniere significative avec son caractere du nord-ouest. Le projet s’est developpe a travers un processus de photographie et de dialogue et, par nature, est subjective et partial. Il nous offre un engagement visuel sociologique avec un environnement social et un paysage culturel particulier, dont l’apparence et le ressenti sont representes a travers un melange d’images et de textes.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.932
Threshold uncertainty score0.998

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.243
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 teacher head, not a consensus.

Study designNot applicable
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
Published2016
Admission routes1
Has abstractyes

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