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Record W4239495340 · doi:10.32920/ryerson.14654331

Photographs On A Refrigerator : A Display Of Visual Culture

2021· preprint· en· W4239495340 on OpenAlexaff
Anna M. Jedrzejowski

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsToronto Metropolitan University
FundersJohns Hopkins University
KeywordsVernacularFraming (construction)PhotographyContext (archaeology)Representation (politics)Visual artsSociologyArtAestheticsHistoryPolitical scienceLawLiteratureArchaeologyPolitics

Abstract

fetched live from OpenAlex

This project will focus on family based vernacular photography and modes of display, with specific attention paid to the household refrigerator as a framing device. Photographs on refrigerators are in many North American homes. Since the invention of photography, the home has and continues to be an area of display for vernacular family photographs. These displays of family photographs are important to consider because they are an example of how people use photographs in their everyday lives, and provide a representation of a family, generation and culture. This investigation will show that people display similar photographs for similar reasons, and that photographs are a common form of record making and celebration for families. Finally, this project will address vernacular photographs within the context of institutional collections. What collecting biases do vernacular photographs confront, and how does the commonality of vernacular photographs raise new questions about institutional collection practices based on the rarified and the valuable cultural object?

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)0.002
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0040.003
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.031
GPT teacher head0.289
Teacher spread0.258 · 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
Published2021
Admission routes1
Has abstractyes

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