MétaCan
Menu
Back to cohort
Record W4380204962 · doi:10.1515/9780228009788

Photogenic Montreal

2021· book· en· W4380204962 on OpenAlexaboutno aff

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2021
Typebook
Languageen
FieldSocial Sciences
TopicHistorical Geography and Geographical Thought
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

The agency of photographs is a recurrent concern within the context of the city. Whether found in architectural records, social documentary, photojournalism, or artistic practice, photographic objects are embedded in urban contestation, aesthetically charged by artists, reinserted into social histories, and mobilized to imagine a future city. Photogenic Montreal takes a question initially posed by heritage debates – what does photography preserve? – and creates a rich conversation about the agency of the human actors before and behind the camera, and of the medium itself. The interplay of archives and activisms structures the book. Photographs that appear to be sealed off in newspapers, storage rooms, or archives accrue new meaning when they cross the threshold back into social spaces and circulate anew. It is through the reactivation of archival photographs that submerged traces of urban experience are discovered, and alternate histories of Montreal can be recounted. Multiple forms of activism and artistic expression complement this archival work. Beginning in the 1960s, community-minded and heritage groups responded to the tensions arising from urban reconstruction, gentrification, and the erasure of neighbourhoods; this activism also left its photographic traces. Attentive to the still-changing face of the city’s architecture, neighbourhoods, and street life, Photogenic Montreal participates in debates about who the city belongs to, who speaks on its behalf, and how to picture its past and present.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.916
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.221
Teacher spread0.207 · 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
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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueMcGill-Queen's University Press eBooksSame topicHistorical Geography and Geographical ThoughtFrench-language works237,207