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Record W7052860361

Social class in later life : Power, identity and lifestyle

2013· article· en· W7052860361 on OpenAlexfundno aff

Bibliographic record

VenueOAR@UM (University of Malta) · 2013
Typearticle
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsSocial classLife course approachIdentity (music)Class (philosophy)LimitingState (computer science)Life chancesSocial categoryWorking class
DOInot available

Abstract

fetched live from OpenAlex

There lies a strong body of work emphasising the waning of class influence on ageing lives. Whilst Woodward goes as far as to state that along with race, gender and age are the most salient markers of social difference, the recently published Key Concepts in Social Gerontology includes no mention of class neither in the contents nor index. Nevertheless, the sociology of class is firmly located in, and around, the younger and adult ‘territories’ of the life course. Although lip-service is frequently paid to age as one of a number of bases of stratification, older people remain excluded from sociological studies of class, on the basis that their class-related characteristics are not sufficiently unique to undermine the logic of class analysis. In exceptional circumstances, the class position of older persons is commonly located through their final occupations before retirement. Whilst this strategy may have been valid in the past when most individuals died either before or soon after statutory retirement age, nowadays it is surely limiting to assume that one’s class career terminates with the onset of retirement considering that the latter normally signals the start of a ‘third ‘third age’ phase of life.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.643
Threshold uncertainty score0.296

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 studies0.0000.000
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 head0.008
GPT teacher head0.184
Teacher spread0.176 · 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 designObservational
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

Citations5
Published2013
Admission routes1
Has abstractyes

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