MétaCan
Menu
Back to cohort
Record W4361283816 · doi:10.1387/pceic.23787

Ideas of class

2023· article· en· W4361283816 on OpenAlexaff
David Parker

Bibliographic record

VenuePapeles del CEIC · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEmployment, Labor, and Gender Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsIdeologyThe ImaginaryMiddle classPoliticsSociologyWhite (mutation)State (computer science)Power (physics)Political scienceGender studiesSocial scienceLawPsychology

Abstract

fetched live from OpenAlex

This text was originally published by David S. Parker in 1998 as an introduction to the book The Idea of the Middle Class: White-Collar Workers and Peruvian Society, 1900-1950, published by Penn State University Press. In the book, the author reflects on the union organization of private employees in Lima (Peru) and the origin of the 1924 law that established a legal distinction between empleado (white-collar employee) and obrero (blue-collar worker). Both the “constructivist” school and the linguistic turn argue that social classes are abstractions, inventions of the collective imaginary, that is, ideas that compete in an ideological market. Among the infinite ways of conceptualizing society, only a few images and discourses become common sense, influencing the formation of identities and inspiring laws and public policies. This text affirms and characterizes that the formation of the middle class concept in Peru is due to ideological, discursive and political processes.

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)0.002
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.023
Scholarly communication0.0080.007
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.052
GPT teacher head0.347
Teacher spread0.296 · 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
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

Explore more

Same venuePapeles del CEICSame topicEmployment, Labor, and Gender StudiesFrench-language works237,207