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Record W4388946156 · doi:10.32920/24624495.v1

COVID bread-porn: Social stratification in a pandemic state

2023· preprint· en· W4388946156 on OpenAlexaff
Ravindra N. Mohabeer

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicCrime, Deviance, and Social Control
Canadian institutionsVancouver Island University
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)PandemicLiminalityIsolation (microbiology)CurrencySocial isolationSociologyPsychologyBiologyAnthropologyLinguistics

Abstract

fetched live from OpenAlex

<p>Much has been and will continue to be made of ‘official responses’ to the COVID-19 pandemic, particularly around the varying success of prescribed isolation practices and how well (or not) people, taken in aggregate, complied with them. This paper examines a more spontaneous response to COVID-19 isolation that emerged: bread-porn. Taken literally, bread-porn is the competitive display of gratuitous pictures of home-baked bread across social media (particularly in the ‘west’), shared by people isolated at home. On the surface, such pictures perfunctorily depict bread; yet, it is argued that these pictures are more nuanced than that, and that the bread itself is almost immaterial. ‘COVID bread-porn’ was a jockeying for social standing and represented one of many unique, if temporary, forms of do-it-yourself (DIY) cultural currency while people were less able to access other extant systems of representational social stratification. The paper discusses the value and significance of the suffix ‘porn’ with respect to struggles to understand the extremities of new systems of value, by linking how temporary COVID culture fit into the flow of the cultural changes that preceded it. The paper argues that the world faced the COVID pandemic at a tumultuous time, ones marked by liminality between historically ‘physical’ and emerging ‘cerebral’ cultural practices in many societies (i.e. the move from manufacturing to ‘knowledge’ economies). Thus, it situates bread-porn as an attempt to ‘win’ at isolation by demonstrating prowess with available domestic resources, and highlights the productive tension of bread-porn that extends and potentially resists the social imperatives of pandemic self-management. </p>

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.541
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.127
GPT teacher head0.411
Teacher spread0.284 · 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 designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

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