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Record W7001966118

Les structures de sentiment et la critique de la vie quotidienne

2022· article· en· W7001966118 on OpenAlexaboutno aff

Bibliographic record

VenueSussex Research Online (University of Sussex) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCommunism, Protests, Social Movements
Canadian institutionsnot available
Fundersnot available
KeywordsTasteNeoliberalism (international relations)PoliticsLiberalismState (computer science)Ideal (ethics)Welfare stateDemocracyEthos
DOInot available

Abstract

fetched live from OpenAlex

In Britain, in the 1960s and 70s, an ordinary ‘structure of feeling’ emerged that directed some of the democratic energy that was responsible for the emergence of the welfare state towards taste formations that transformed ideal domestic environments (and real ones of course) into a material landscape that was characterised by informality, private sociability and an individualised sense of freedom. Exemplary in performing this transformation was the taste formation that I want to name after the shop Habitat (it was called Conran in the United States), which, by the time Margaret Thatcher came to power, was in most large towns and cities in the UK, as well as France, Canada, US and Japan. In Japan it was included as part of the Seibu department store; in France it had a flagship store (which is still in operation) as part of the Montparnasse Tower in Paris. Habitat was the domestic aesthetic of the new middle classes in Britain. It was open, informal, it mixed the old and the new. It took simplified modernist designs from Scandinavia and Japan and mixed it with a Mediterranean sense of convivial ways of eating and socialising. In many ways it was left leaning, but this was a new form of liberalism of the left: newly private and laissez faire. It didn’t cause the emergence of neoliberalism as a cultural form, but it did furnish it with an environment where ‘freedom’ has a flavour and tactility, and where there was little room for equality and collectivity as the central political value. To persuade you that this characterisation is useful for understanding changes in everyday life in Britain in the 1960s and 70s and beyond I need to pursue a short theoretical journey.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.032
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0120.032
Scholarly communication0.0160.009
Open science0.0010.004
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0060.002

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 head0.070
GPT teacher head0.453
Teacher spread0.384 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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