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Record W4402110444 · doi:10.55016/ojs/jet.v27i2.52321

L'Education a l'Heure de la Crise: A Ia Recherche de l'Equilibre

2018· article· en· W4402110444 on OpenAlexaff
Georges Mayrand

Bibliographic record

VenueJournal of educational thought. · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Policies
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsPolitical sciencePhilosophyHumanities

Abstract

fetched live from OpenAlex

The author perceives contemporary educational thought as polarized along two major axes: utilitarianism and holism. Utilitarianism is the result of a conglomeration of doctrines influenced by Cartesian dualism, Newtonian mechanism, and social Darwinism; all of these share a fragmentary and reductionist view of reality. In opposition to that view, holism, in both its rational and intuitive forms, tends to see reality as a global and unified whole. The traditionalist position, in search of a renewed foundation where relativism prevails, oscillates between these two major axes. The author suggests the Taoist principles of yin and yang, the complementary poles of reality, as a background for his analysis. He presents a cyclical model of change in which interaction between the yin and yang polarities results in a cultural evolution wherein equilibrium and disorder alternate. The evaluation of recent trends in education is analyzed and epistemological issues are raised. Finally, the author underlines the potential influences of both the utilitarian and holistic axes on the outcome of the current crisis in education.

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)0.012
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0060.035
Scholarly communication0.0200.016
Open science0.0020.007
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0090.001

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 head0.101
GPT teacher head0.516
Teacher spread0.415 · 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 designNot applicable
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

Citations0
Published2018
Admission routes1
Has abstractyes

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