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Record W2146277643 · doi:10.1177/105065190101500202

“Just the Boys Playing on Computers”

2001· article· en· W2146277643 on OpenAlexaff
Natasha Artemeva, Aviva Freedman

Bibliographic record

VenueJournal of Business and Technical Communication · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsCognitive dissonanceContradictionVisibilityPoint (geometry)BreakupPower (physics)SociologyComputer sciencePublic relationsMarketingEpistemologyBusinessPsychologySocial psychologyPolitical scienceMathematics

Abstract

fetched live from OpenAlex

Using activity theory as a supplement to genre studies, this article explores a case of the disintegration of a traditional engineering firm. It focuses on the causes of such disintegration and the role of different types of communication in serving as sites where contradictions can be brought to visibility and resolution. The authors’ goal is both to show the power of activity theory in illuminating issues of tension, contradiction, and dissonance that lead to the breakup of the original organization into two separate firms and point to fundamental differences in the cultures of traditional engineering firms and software design enterprises.

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)0.001
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.014
Scholarly communication0.0070.011
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0210.005

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 head0.050
GPT teacher head0.289
Teacher spread0.239 · 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

Citations51
Published2001
Admission routes1
Has abstractyes

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