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Record W6986712616

ReClaiming Montreal’s Memory: Demolition and the Photography of Edith Mather

2013· other· en· W6986712616 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2013
Typeother
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsnot available
Fundersnot available
KeywordsDemolitionPhotographyExposition (narrative)Perspective (graphical)Ethnography
DOInot available

Abstract

fetched live from OpenAlex

Les démolitions représentent une part entière de l’évolution des villes sans que Montréal ne fasse exception à la règle. Dans les décennies qui ont suivi la Seconde Guerre mondiale, Montréal fait figure de ville moderne à travers le monde, avec la construction de nombreux bâtiments phares, un nouveau système de transport en commun et la tenue d’évènements d’envergure internationale. Ce programme de construction ambitieux a pu être réalisé à la suite de nombreuses destructions datant de la fin du XIXe et du début du XXe siècle. Aujourd’hui, le tissu urbain n’offre donc au mieux qu’une image fragmentée de l’histoire de la ville. En effaçant plusieurs bâtiments du paysage de la ville, la démolition ne se contente pas d’effacer plusieurs bâtiments du paysage urbain, elle menace le patrimoine des citoyens qui s’y identifient. Des traces de ces héritages perdus demeurent néanmoins préservées dans des archives publiques et privées, ainsi que dans les témoignages oraux des témoins de ces destructions.[...]

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)0.005
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.497
Threshold uncertainty score1.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0100.007
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0740.006

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 head0.018
GPT teacher head0.208
Teacher spread0.190 · 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
Published2013
Admission routes1
Has abstractno

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