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Record W4235583263 · doi:10.32920/ryerson.14654193.v1

Between life and the underground : a study of photography found in Rolling Stone magazine from 1967 to 1972

2021· preprint· en· W4235583263 on OpenAlexaff
Rachel Lobo

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPhotojournalismPhotographyMainstreamVisual artsJournalismConventionPeriod (music)Consumption (sociology)ArtSociologyMedia studiesLawAestheticsPolitical science

Abstract

fetched live from OpenAlex

In order to consider what the photography used within Rolling Stone magazine contributes to the history of photojournalism, Between Life and the Underground analyzes the aesthetic of the photography and conceptual layouts produced within the magazine. This study looks specifically at the period of 1967 to 1972, a time when mainstream publications like Life magazine ceased production and when over 500 underground publications were piloted. A comparative analysis of the design, economics, and production of both Rolling Stone and the underground publication the Berkeley Barb traces the influence that the underground had on the aesthetic of Rolling Stone’s photography and layout. The role that cover photography played in perpetuating the identity that Rolling Stone wanted to embody is also investigated. The influence that New Journalism had on the production of photojournalism at Life and Rolling Stone is also considered—framed around a comparison of the photographic coverage of the Woodstock Festival of 1969 and the police riots at the Democratic National Convention of 1968. This study concludes that the underground press cultivated a new photographic aesthetic and conceptual technique for laying out photographs which adhered to the ideals of the 1960s—namely informality, which Rolling Stone then adapted to create a profitable magazine.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0080.006
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.051
GPT teacher head0.245
Teacher spread0.194 · 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 designQualitative
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

Citations0
Published2021
Admission routes1
Has abstractyes

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