MétaCan
Menu
Back to cohort
Record W2014687644 · doi:10.2752/174063106778053255

Under the Kitchen Surface: Domestic Products and Conflicting Constructions of Home

2006· article· en· W2014687644 on OpenAlexaff
Lydia Martens, Sue Scott

Bibliographic record

VenueHome Cultures · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicRhetoric and Communication Studies
Canadian institutionsAssumption University
FundersJohnson and Johnson
KeywordsProduct (mathematics)HousekeepingNarrativeAssertionSafe havenReading (process)Competition (biology)BusinessSociologyMarketingPolitical scienceLawEconomics

Abstract

fetched live from OpenAlex

This paper examines how the product world around domestic cleanliness plays with the dual construction of the home as safe and dangerous. By participating in this construction, cleaning products engage with a salient concern in domestic life—how to achieve and maintain a safe domestic environment. We have investigated the discursive commentary on domestic cleanliness and safety in one domestic advice manual: Good Housekeeping magazine, over the period 1951–2001. This investigation has also provided insights into the discursive character of cleaning products. We have been interested in how product discourse moves the home discursively from exhibiting dangerous tendencies towards the attainment of safety through the utilization of products. However, reading product narratives over the late modern period makes it apparent that competition and the need for product innovation in an otherwise difficult market has created complexities that confront the domestic sphere with more dangers. We draw out the consequences of our findings and reflect on how this informs the assertion made by Ger and Yenicioglu (2004) about the connections between contemporary consumer culture, cleanliness and the domestic safe haven.

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)0.004
metaresearch head score (Gemma)0.006
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 score0.009
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.029
Scholarly communication0.0070.009
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.032
GPT teacher head0.267
Teacher spread0.235 · 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

Citations22
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueHome CulturesSame topicRhetoric and Communication StudiesFrench-language works237,207