MétaCan
Menu
Back to cohort
Record W2033956392 · doi:10.1080/09663690600573742

Beauty Queen, Bulletin Board and Browser: Rescripting the refrigerator

2006· article· en· W2033956392 on OpenAlexaff
Helen Watkins

Bibliographic record

VenueGender Place & Culture · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsScripting languageNoticeBeautySociologyBulletin boardSpace (punctuation)AvatarAestheticsReproductionMedia studiesPublic relationsInternet privacyComputer scienceArtPolitical scienceLawHuman–computer interaction

Abstract

fetched live from OpenAlex

An integral element of most British kitchens, refrigerators support daily practices of social reproduction, but tend to blend almost unnoticed into the background. Drawing in particular on feminist social theorists and historians of technology, my research pays critical attention to mundane objects, domestic practices and the stories that they tell. This paper pauses to take a closer look at a usually unobtrusive appliance in, on and around which much of kitchen life plays out. I examine processes of domesticating, gendering, appropriating and rescripting the refrigerator. I consider how associations with women's traditional responsibilities for feeding, nourishing and caring feminise the fridge, how 'scripts' for objects and technologies encourage users to behave in certain ways, but also how those scripts can be rewritten. Looking at the sometimes unexpected ways in which technologies evolve, I note that as well as being an instrument for preserving food, the fridge has become normalised as a notice board for household communication, creative self-expression and display. I then turn to the metaphorical rescripting of 'the fridge door' and its translation into virtual space to explore how the refrigerator has come to represent an accessible and participatory space for multiple voices and diverse knowledges.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.510

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.194
Teacher spread0.180 · 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.

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".

Quick stats

Citations26
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueGender Place & CultureSame topicCulinary Culture and TourismFrench-language works237,207