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Record W2105291050 · doi:10.25071/1916-4467.23398

Thinking like Grass, with Deleuze in Education?

2010· article· en· W2105291050 on OpenAlexaffvenueabout
Xiao-Jiu Ling

Bibliographic record

VenueJournal of the Canadian Association for Curriculum Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicPosthumanist Ethics and Activism
Canadian institutionsYork University
Fundersnot available
KeywordsEpistemologySociologyIgnoranceRealmCurriculumSpace (punctuation)SketchOpenness to experienceDisciplineReading (process)AestheticsPhilosophySocial sciencePedagogyPsychologySocial psychologyComputer scienceLaw

Abstract

fetched live from OpenAlex

The French philosopher Gilles Deleuze might not be well known yet to the Canadian education landscape. So in this paper, I begin with a close-reading of “On the Superiority of Anglo-American Literature”, a chapter in Deleuze’s collaborative works with his colleague Claire Parnet, appropriately titled Dialogue, where they exemplifies their own “deterritorialization” of thought across disciplines and geographical domains. I then give a sketch of his reflection on the major movements in Philosophy as an attempt to envision his own possible orientation of philosophizing that is close to life in its creative force. By introducing some of the important yet creative concepts as well as the fresh spirit of his philosophical movements in thinking, I intend to create a space of openness where we the educators could think anew on the some fundamental theoretical questions in curriculum studies, for instance: what does it mean to attempt to bring Deleuze’s work from the “outside” in the proximity of our educational realm, or rather, to extend our ignorance to the edge of the inter-disciplinary borders, to think about curriculum questions with his diverse philosophical thinking?

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.196
Threshold uncertainty score0.390

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.046
Scholarly communication0.0070.009
Open science0.0010.003
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0050.001

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 head0.017
GPT teacher head0.317
Teacher spread0.301 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations11
Published2010
Admission routes3
Has abstractyes

Explore more

Same venueJournal of the Canadian Association for Curriculum StudiesSame topicPosthumanist Ethics and ActivismFrench-language works237,207