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Record W2771781942 · doi:10.7202/1070694ar

Question 94: On Philosophy as Subversion, In Response to Dieter Misgeld

2020· article· en· W2771781942 on OpenAlexvenueaboutno aff
Stella Gaon

Bibliographic record

VenuePhilosophical Inquiry in Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Theory and Philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical philosophyEpistemologyHermeneuticsPoliticsSubversionPhilosophyCritical theoryPhilosophy of educationPower (physics)SociologyLawHigher educationPolitical science

Abstract

fetched live from OpenAlex

Dieter Misgeld: A Philosopher’s Journey from Hermeneutics to Emancipatory Politics, by Hossein Mesbahian and Trevor Norris (2017), is a book-length transcript of a set of wideranging and extensive conversations with Professor Emeritus Dieter Misgeld. These interviews were conducted in 2005, on the occasion of his retirement from teaching at the Ontario Institute for Studies in Education at the University of Toronto. The “journey” referenced in the title reflects the sharp distinction between philosophy and politics that appears to inform Misgeld’s views throughout the text. In response to Misgeld, I propose that, while his understanding of philosophy as apolitical or quietist arguably holds on a narrow definition of the term “philosophy,” this definition forecloses a more radical understanding of philosophy as critique. A deeper and broader conception of philosophy as “theory,” I submit, can and should be drawn from the work of first generation Frankfurt School theorists Max Horkheimer and Theodor Adorno. Properly conceived and undertaken, philosophy as critical theory can and does subvert political power, albeit not in ways that one might predict on the basis of the customary separation of theory and practice. I refer to numerous moments of the discussion to make this case so as to convey the breadth and richness of the book.

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)0.005
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.514
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
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 integrity0.0000.001
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 head0.096
GPT teacher head0.415
Teacher spread0.319 · 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.

Study designTheoretical or conceptual
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

Citations2
Published2020
Admission routes2
Has abstractyes

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