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Record W3042238187 · doi:10.1177/1056492620941075

“It’s an Ongoing Bromance”: Counterculture and Cyberculture in Silicon Valley—An Interview with Fred Turner

2020· article· en· W3042238187 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

VenueJournal of Management Inquiry · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicCybernetics and Technology in Society
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCountercultureDemocratizationSilicon valleyEthosCybercultureSociologyMedia studiesDigital culturePoliticsSocial sciencePolitical scienceThe InternetLawEntrepreneurshipDemocracy

Abstract

fetched live from OpenAlex

Fred Turner is considered one of the most influential experts on, and critical observers of, cyberculture. He is Harry and Norman Chandler Professor of Communication at Stanford University in the Department of Communication. Through his work, he provided a thoughtful analysis of the politics and culture of Silicon Valley. In his books, he explored the connections between the collaborative and interdisciplinary research culture of the Second World War, the protest movements of the 1960s, and the managerial ethos permeating digital and new media industries. In this interview, we discuss about the consequences that the countercultural movements had on the organization of labor in modern tech giants, especially in relation to the substitution of hierarchies for flat and more entrepreneurial structures. We also talk about the consequences that a code of ethics might have in the democratization of technology and the responsibility that we have as citizens and academics.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.682
Threshold uncertainty score0.483

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 head0.057
GPT teacher head0.259
Teacher spread0.202 · 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