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Record W2491994748 · doi:10.1017/cbo9780511509568.013

Activity and Power: Everyday Life and Development of Working-Class Groups

2006· book-chapter· en· W2491994748 on OpenAlexaff
Peter H. Sawchuk

Bibliographic record

VenueCambridge University Press eBooks · 2006
Typebook-chapter
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEveryday lifeClass (philosophy)Power (physics)PsychologyComputer scienceEpistemologyPhysicsArtificial intelligencePhilosophyThermodynamics

Abstract

fetched live from OpenAlex

What is abstracted in orthodox sociology as ‘socialization’ is in practice, in any actual society, a specific kind of incorporation. Its description as ‘socialization’, the universal abstract process on which all human beings can be said to depend, is a way of avoiding or hiding this specific content and intention. Any process of socialization of course includes things that all human beings have to learn, but any specific process ties this necessary learning to a selected range of meanings, values, and practices which, in the very closeness of their association with necessary learning, constitute the real foundations of the hegemonic … Specific communities and specific places of work, exerting powerful and immediate pressures on the conditions of living and of making a living, teach, confirm, and in most cases finally enforce selected meanings, values and activities. (Williams 1977: 117–118) INTRODUCTION Certainly, human learning as a process of socialization constitutes a foundational element of the hegemony of advanced capitalism. In many ways, the concept of learning speaks to those core relations that have informed and continue to inform the sociological enterprise: agency/structure, micro/macro, change/order. However, understanding learning as a generalized ‘socialization’ process is deeply problematic: It is inherently normative, often unknowingly so; it is ahistorical; it presumes the form of relation between individuals and society; in short, it obscures more than it reveals.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.016
Scholarly communication0.0080.005
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.035
GPT teacher head0.229
Teacher spread0.194 · 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

Citations23
Published2006
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicYouth Education and Societal DynamicsFrench-language works237,207