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Record W4253050316 · doi:10.24908/iqurcp.13328

Picturing Canada

2019· article· en· W4253050316 on OpenAlexaffvenueabout
Jessica Lanziner

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsQueen's University
Fundersnot available
KeywordsStudioPhotographyNewspaperVisual artsPeriod (music)Aerial photographyMovement (music)NegativeHistoryGeographyMedia studiesCartographyArtSociology

Abstract

fetched live from OpenAlex

This project focused on gathering information relevant to photography in British North America from the period of 1839-1889. It utilized the digitized newspapers available on the searchable Paper of Record database, beginning with Halifax, Toronto, St. Thomas, and Vancouver. The recorded information highlighted photographic service advertisements, studio location changes, photographic bookings, and new developments in photographic technology. This research allows for insight into how and for what purposes photography was being used in this time period. Through examining different newspapers across multiple locations, this project was able to track the speed at which news and technological developments were received in different areas. The project additionally tracked and mapped the location of artists and photography studios, in an effort to tie the movement of photographers from one city, town, or province, to one another. Several photographers were discovered to occupy the same photographic studios, passing off their studios to others, while in pursuit of a greater opportunity elsewhere. In executing this research, this project established a basis for on the archived information on early Canadian photography, and specifically, the connections between the movement of photographers.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.113
Threshold uncertainty score0.378

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0100.002
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1130.010

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 head0.105
GPT teacher head0.330
Teacher spread0.226 · 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
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".

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Citations0
Published2019
Admission routes3
Has abstractyes

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