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The French Scientific and Pedagogic Community Alarmed: Review of the International Symposium

2022· article· en· W4220729629 on OpenAlexaboutno aff
Н. В. Литвак

Bibliographic record

VenueConcept philosophy religion culture · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyMedia studiesCivilizationPoliticsDeconstruction (building)ConventionSociologyPolitical scienceLibrary scienceLawHumanitiesArt

Abstract

fetched live from OpenAlex

On January 7–8, 2022, an event Après la déconstruction. Reconstruire les sciences et la culture (After the Deconstruction. Reconstruction of Sciences and the Culture) organized by the College of Philosophy, the Observatory of decolonialism, and the Committee Laïcité République, took place at the Sorbonne. The colloquium brought together prominent figures from around the world in the heart of Paris, in the historical Salle Louis Liard of Sorbonne University in which PhD theses are defended. Due to the constrictions of the venue — hence the COVID-19 restrictions — apart from 220 delegates to the symposium, more than 400 participants took part via the Internet. Minister of National Education Jean-Michel Blanquer delivered the opening speech. Speakers from France and the best universities of the USA, Canada, and Great Britain took part in three sessions and twelve thematic panels. Researchers, political scientists, sociologists, historians, economists, artists, and representatives of many other professions, mathematicians included, followed the lead of French philosophers present at the conference. The keynote of the symposium was the concern about the increasing politicization of science and education and the need to respond to its threats. The convention regarded the so-called woke ideology, or decolonization thinking, and cancel culture as the main threats to the world, science, and education, since this ideology may result in the cancellation of the very Western civilization. The participants discussed, darkly, pseudo-scientific approaches to the study of Islam, new taboos in mass culture, post-truth in the media, and knowledge transfer in educational training today. It was suggested that every fake or pseudoscientific paper should be countered with a scientific one, academics should back their peers confronted by student activists and university administration, resist deconstruction by transmitting knowledge and language to younger generations. The new axiological turn calls for facing the new ethics not only in everyday encounters but within the scientific discourse as well.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.931
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.158
GPT teacher head0.422
Teacher spread0.264 · 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 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
Published2022
Admission routes1
Has abstractyes

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