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Record W2049877836 · doi:10.1080/02723638.2014.923143

Automated (post)positivism

2014· article· en· W2049877836 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

VenueUrban Geography · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsZombieSociologyNeoliberalism (international relations)PositivismMedia studiesPoliticsAestheticsLawPolitical sciencePolitical economyComputer securityArtComputer science

Abstract

fetched live from OpenAlex

With a mantra that ‘nobody is as smart as everybody,’ Google maintains giant databases that enable unprecedented quantitative analysis of a social world that is now majority urban. A Wall Street web-based broker offers an App that promises to turn ‘thoughts into trades.’ Economists and marketers now use evolutionary theory in ‘neuroimaging’ brain scans of consumer behavior. The United States Air Force now trains more joystick-maestro drone pilots than old-fashioned Do-the-Right-Stuff human fighters and bombers. In this article, I suggest that these trends signal a troubling reincarnation of an aggressive Right-wing (post)positivist zombie reanimated by global, digitized neoliberalism. The long-forgotten revolutionary project launched by Auguste Comte in 1822 was hijacked and corrupted after his death, and now we confront a hybrid cyborg zombie, a dehumanized, automated adaptation to the post-structuralist situated knowledges of consumer sovereignty. #Comtebot: The positivist era is right now; the question is what kinds of politics it will have.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.755
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.004
GPT teacher head0.175
Teacher spread0.170 · 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