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Generational affinities and discourses of difference: a case study of highly skilled information technology workers<sup>1</sup>

2007· article· en· W2019718443 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBritish Journal of Sociology · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsWestern University
Fundersnot available
KeywordsSolidarityIdentity (music)AffinitiesSociologyGender studiesSample (material)Political scienceAestheticsPoliticsLaw

Abstract

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Sociologists theorizing the concept of 'generation' have traditionally looked to birth cohorts sharing major social upheavals such as war or decolonization to explain issues of generational solidarity and identity affiliation. More recently, theorists have drawn attention to the cultural elements where generations are thought to be formed through affinities with music or other types of popular culture during the 'coming of age' stage of life. In this paper, we ask whether developments in computer technology, which have both productive and cultural components, provide a basis for generational formation and identity and whether generational discourse is invoked to create cultures of difference in the workplace. Qualitative data from a sample of Information Technology workers show that these professionals mobilize 'generational' discourse and draw upon notions of 'generational affinity' with computing technology (e.g. the fact that people of different ages were immersed to varying degrees in different computing technologies) in explaining the youthful profile of IT workers and employees' differing levels of technological expertise.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.481
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.019
GPT teacher head0.313
Teacher spread0.294 · 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