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Record W4250647693 · doi:10.32920/ryerson.14663556

Embodied nostalgia

2021· preprint· en· W4250647693 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicNostalgia and Consumer Behavior
Canadian institutionsToronto Metropolitan UniversityYork University
Fundersnot available
KeywordsSnapshot (computer storage)PhotographyDigital photographyVisual artsPhoneEmbodied cognitionDigital eraDigitizationArtComputer scienceWorld Wide WebTelecommunicationsThe InternetArtificial intelligence

Abstract

fetched live from OpenAlex

By looking at the history of snapshot photography from the Kodak Brownie until today's iPhone, the qualities of digital snapshot photography will be measured against its analogue past. Through this critique, I will illustrate how highly valued cultural objects like the photographic print and the family album have been replaced by hypermediated transactions of images stored online via social networking websites. Specifically, I will explore why our contemporary society looks back to its past, and at the same time yearn for the future. Smart-phone developers tap into the niche market of this nostalgic trend and created, for example, the Hipstamatic application to give us images that capture moments that look unique, old, and most importantly, one-of-a-kind. The nostalgic qualities associated with analogue snapshot photography-aged prints, exposure flaws, soft focus, and light leaks-are mimicked by contemporary digital images, creating the illusion of historical uniqueness. Snapshot photography is about memory, time, ritual, and nostalgia; the digital is about hypermediated, immediate and constant social online photo posting. The snapshot photograph finds itself at an interesting point of transition, competing to be one step ahead of the newest technology and at the same time, imitating yesterdays technology by striving to look authentically as if from the past. The new and the old have become intermingled.

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.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0580.002

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 head0.045
GPT teacher head0.349
Teacher spread0.304 · 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

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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