MétaCan
Menu
Back to cohort
Record W1958269603 · doi:10.3138/topia.28.115

Reconfiguring the Academic Dance: A Critique of Faculty’s Responses to Administrative Practices in Canadian Universities

2012· article· en· W1958269603 on OpenAlexvenueaboutno aff
Claire Polster

Bibliographic record

VenueTOPIA Canadian Journal of Cultural Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsArgument (complex analysis)Variety (cybernetics)Public relationsWork (physics)SociologyDanceResource (disambiguation)Political sciencePublic administrationEngineering

Abstract

fetched live from OpenAlex

This article explores and critiques Canadian academics’ responses to new administrative practices in a variety of areas, including resource allocation, performance assessment and the regulation of academic work. The main argument is that, for the most part, faculty are responding to what administrative practices appear to be, rather than to what they do or accomplish institutionally. That is, academics are seeing and responding to these practices as isolated developments that interfere with or add to their work, rather than as reorganizers of social relations that fundamentally transform what academics do and are. As a result, their responses often serve to entrench and advance these practices’ harmful effects. This problem can be remedied by attending to how new administrative practices reconfigure institutional relations in ways that erode the academic mission, and by establishing new relations that better serve academics’—and the public’s—interests and needs. Drawing on the work of various academic and other activists, this article offers a broad range of possible strategies to achieve the latter goal. These include creating faculty-run “banks” to transform the allocation of institutional resources, producing new means and processes to assess—and support—academic performance, and establishing alternative policy-making bodies that operate outside of, and variously interrupt, traditional policy-making channels.

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 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)0.002
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 score0.413
Threshold uncertainty score0.640

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.290
GPT teacher head0.498
Teacher spread0.207 · 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 teacher head, 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

Citations7
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueTOPIA Canadian Journal of Cultural StudiesSame topicHigher Education Practises and EngagementFrench-language works237,207