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Record W1761774641 · doi:10.29173/cmplct17982

Learning Disorders: From a Tragic to an Epic Perspective on Complexity

2014· article· en· W1761774641 on OpenAlexvenueno aff
Michel Alhadeff‐Jones

Bibliographic record

VenueComplicity An International Journal of Complexity and Education · 2014
Typearticle
Languageen
FieldComputer Science
TopicChaos, Complexity, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsSubjectivityNothingObjectivity (philosophy)Order and disorderPerspective (graphical)Subject (documents)EpistemologyEPICPsychologyPsychoanalysisPhilosophyLiteratureComputer scienceArt

Abstract

fetched live from OpenAlex

I have radically understood that everything which does not carry the mark of disorder eliminates existence, being, creation, life, liberty, and I have understood that all elimination of being, existence, self, creation is rationalizing madness. I have understood that order alone is nothing but bulldozing, that organization without disorder is absolute enslavement. I have understood that we must fear, not disorder, but the fear of disorder, not the subject, but feeble-minded subjectivity which takes itself for objectivity.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.008
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0060.075
Scholarly communication0.0080.011
Open science0.0010.009
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0040.000

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 head0.064
GPT teacher head0.352
Teacher spread0.288 · 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

Citations6
Published2014
Admission routes1
Has abstractyes

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Same venueComplicity An International Journal of Complexity and EducationSame topicChaos, Complexity, and EducationFrench-language works237,207