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Record W2562354081 · doi:10.17742/image.nbw.7-1.13

Seen and Imagined: A Northwestern Crossroads City

2016· article· en· W2562354081 on OpenAlexvenueaboutno aff
Douglas Harper, Tara Milbrandt

Bibliographic record

VenueImaginations Journal of Cross-Cultural Image Studies · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsnot available
Fundersnot available
KeywordsArt

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.Résumé | Cet article est une étude interprétative de la ville d’Edmonton qui combine photographie, réflexion écrite et analyse. En mêlant des points de vue externes et internes, cet essai représente la ville à travers l’imagerie d’une frontière postmoderne réaliste. Edmonton est peinte comme un lieu d’énergies diverses et souvent contradictoires, qui sont associées de manière significative avec son caractère du nord-ouest. Le projet s’est développé à 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 représentés à travers un mélange 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 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)0.001
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 score0.835
Threshold uncertainty score0.332

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0170.012
Scholarly communication0.0070.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.065
GPT teacher head0.403
Teacher spread0.337 · 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

Citations1
Published2016
Admission routes2
Has abstractyes

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