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Record W4242544123 · doi:10.32920/ryerson.14639109

Critical Practice of Grant Application and Administration

2021· preprint· en· W4242544123 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

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicData Analysis and Archiving
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsAdministration (probate law)Political sciencePublic administrationLaw

Abstract

fetched live from OpenAlex

Researchers experience increasing pressures to connect with bodies that finance their projects. In this climate, critical scholars face many obstacles as they seek to navigate the treacherous waters of securing external funds. To debate these challenges, the ACME Editorial Collective organized a panel for the 2009 Annual Meeting of the Association of American Geographers in Las Vegas. This intervention represents a follow-up discussion and collective writing process among some of the panelists and members of the audience who attended the panel. Below, we examine the neoliberalization of the current funding systems, discuss the implications for research practice, and make suggestions for critical engagement and transformation. Our suggestions, however, will not be easy to implement, as we can infer from the experience of the radical scholars of the post-1968 generation whose ascension into the upper echelons of North American and European university systems was also associated with the neoliberalization of the funding systems. This intervention represents a modest contribution in the tradition of critical research practice of creating the possibilities for progressive change.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.909
Threshold uncertainty score0.436

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 studies0.0000.000
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 head0.029
GPT teacher head0.403
Teacher spread0.374 · 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

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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