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Record W2055559249 · doi:10.7202/1025787ar

Cameras in the Countryside: Recreational Photography in Rural Ontario, 1851-1920

2014· article· en· W2055559249 on OpenAlexaffvenueabout
Jacqueline McIsaac

Bibliographic record

VenueScientia Canadensis Canadian Journal of the History of Science Technology and Medicine · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsPhotographyAppropriationRecreationRural areaDiversification (marketing strategy)Photo-essaySociologyVisual artsBusinessMarketingPolitical scienceArtLaw

Abstract

fetched live from OpenAlex

The introduction and subsequent refinement of glass plate negative technology facilitated photography’s appropriation within rural Ontario. As a recreational consumer technology, the camera became easier to use, financially accessible, and portable, thus better suiting the needs of rural consumers. While technological advancements allowed the camera to be adopted as a leisure pursuit, its use was directed by the countryside’s cultural values and social norms. These interests influenced who used cameras, how photo-supplies were purchased, the camera’s place within household income diversification strategies, and the photographer’s gaze, all of which suggest that when photo-technology was used in the countryside, it was as an extension of, not a challenge to, rural cultural values. At the same time, as the first photography system that was accessible to the middle and labouring classes, glass plates cannot help but reveal the visual priorities this new group of consumers, thus contributing to current discussions on cultural aspects of rural society. Consequently, glass plate cameras in Ontario’s countryside functioned as both a documentary medium as well as a form of cultural expression.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0010.019
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.215
Teacher spread0.199 · 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

Citations1
Published2014
Admission routes3
Has abstractyes

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