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Record W6986707383

Qualitative Inquiry in the Public Sphere

2018· other· en· W6986707383 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldDecision Sciences
TopicInterdisciplinary Research and Collaboration
Canadian institutionsnot available
Fundersnot available
KeywordsPublic spherePoliticsCLARIONAccountabilityAction (physics)Perspective (graphical)Qualitative researchInterpretation (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

"Qualitative Inquiry in the Public Sphere examines the relationships between public scholarship, the research marketplace, and the politics of higher education.?It is written from the perspective that higher education is under attack from multiple sides, both political and economic; that academics reside in a precarious position, one fraught with accountability metrics, funding pressures, and spiralling bureaucracy; and that scientific knowledge itself is increasingly contentious in public. These internal and external pressures have fundamentally transformed the public sphere of higher education from one of rational public discourse by and for the public good to one of private market relations and strategic research decisions. In turn, these transformations have fundamentally altered what it means to be a productive scholar within this spacealtered what it means to be a public researcher in this space. Leading international voices from the United States, Canada, Germany, the United Kingdom, and Norway collectively present a forceful rebuke to such developments, raising a clarion call to action on topics ranging from scholarly publishing, audit culture, and the privatization of public knowledge to Indigenous, arts-based, and collaborative research methods. Qualitative Inquiry in the Public Sphere is a must-read for faculty and students alike interested in the politics of being a public researcherof conducting research in and influencing dialogue in the public sphere."--Provided by publisher

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.143
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0820.019

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 head0.390
GPT teacher head0.578
Teacher spread0.188 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2018
Admission routes1
Has abstractyes

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Same topicInterdisciplinary Research and CollaborationFrench-language works237,207