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Record W3009337655 · doi:10.15307/fcj.30.228.2019

FCJ-228 University, Universitas

2019· article· pl· W3009337655 on OpenAlexaff
Erin Manning

Bibliographic record

VenueThe Fibreculture Journal · 2019
Typearticle
Languagepl
FieldSocial Sciences
TopicUniversity Challenges and Reforms
Canadian institutionsConcordia University
Fundersnot available
KeywordsLibrary scienceMedia studiesEngineering physicsSociologyEngineeringComputer science

Abstract

fetched live from OpenAlex

To contend with the contemporary university is to engage on two fronts: to consider how to address the deep inequities for thought and economic survival brought about by the corporatization of the university, and to consider how the foundational exclusionary model of the university is prolonged and exacerbated by its neoliberal turn. What forms of resistance does the corporate university quell? What modes of thought does it silence? How to shift from the enlightenment model without giving in to the market-driven one? How to steal from the university the quality of what moves across it without being consumed by it? If the university leads resistance, it is not because of its enlightenment values or its entrepreneurial posture of innovation: resistance forms in what Moten and Harney call the university's 'undercommons' (2013). Undercommons are the interstices where thought bubbles into orientations as yet uncharted. Thought thrives in the interstices. There is great power here, where the university cannot steal from us, where there remains confidence in our knowing otherwise. When study happens, when an undercommons of thought reveals itself, it is not because the university has fostered it. It's because an enclave has grown in resistance to all the university devalues.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.584
Threshold uncertainty score0.594

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0050.001
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.5840.227

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 head0.006
GPT teacher head0.197
Teacher spread0.190 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2019
Admission routes1
Has abstractyes

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