MétaCan
Menu
Retour à la cohorte
Enregistrement W2905043009 · doi:10.4324/9781315208732-11

Showing that children can do philosophy

2017· book-chapter· en· W2905043009 sur OpenAlexaboutno aff
Michel Sasseville

Notice bibliographique

Revuenon disponible
Typebook-chapter
Langueen
DomaineSocial Sciences
ThématiqueEducation and Critical Thinking Development
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCognitive scienceComputer sciencePsychology

Résumé

récupéré en direct d'OpenAlex

Your question reminds me the comments I heard many times when I tried to bring P4C to Laval University 30 years ago. Many were saying: well, if it is philosophy it is not for children and if it is for children it can’t be philosophy. Twenty years later, this comment totally disappeared. What happened? I would say that the research of Vygotsky (1985) is now well known in the field of education. Piaget is no more the king in this discipline. Vygotsky’s insights, supported by many researches after his death, show clearly that children can work with abstract notions. Some of my colleagues have rethought their conception of philosophy and, more specifically, their conception of how philosophy can be taught. If, as Lipman and Sharp did (1980 , 1984 , 1988 , 1991, 1992 ),we redesign the teaching of philosophy in such a way that this discipline can be interesting and useful for children, then the possibility of doing it with children is evident. We have seen a profound reform in education in Québec over the past 30 years and now, in primary school, we talk about competencies and transversal competencies and making critical judgments. More than that, the Ministry of Education of Québec says that the classroom should be transformed into a community of learners. In this context, Philosophy for Children (P4C) is more than welcome because doing philosophy with children means inviting them to become critical thinkers, not only that, but also that within a 90 community of inquiry. This is exactly what people in primary schools are looking for. And here we are with more than 40 years of experience showing how this could be done and the impacts of doing this on the performance of the child in other disciplines. It is no surprise that people are more and more interested in P4C. For nearly 30 years, we have trained thousands of teachers (by means of programs of formation, see https://philoenfant.org ) who have learned how to do philosophy with children. So, with their help, we have collected a series of discussions among children showing that they can do philosophy if they are assisted by a teacher who knows how to invite them to engage themselves in philosophical inquiry. For sure, we can talk and talk theoretically about the capacity or not of the child to do philosophy. But there is nothing better than a base of observation to talk about it. And this base shows clearly that children can do philosophy. In 2004, with the help of Laval University and Canal Savoir (an educative channel television in Québec), we have created a television series of 13 shows (30 minutes each) about Philosophy for Children. Called “ Des enfants philosophent ,” ( Sasseville, 2004 ) this television series shows that children (from 6 to 12 years old) can engage themselves in a philosophical inquiry. What we see in this series is children trying to define concepts like friendship, love, war, curiosity, difference, justice, freedom, and on and on in such a way that they give reasons, examples, counter-examples, formulate hypothesis, are looking for criteria. All these moves (and many more) are those we can observe when we look carefully at what philosophers are doing. If there is a difference, it is only a difference of degree, not of kind. Just like when we see children playing baseball (or hockey or football). Even if they are not professional, no one would say that they are not playing baseball.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,008
score de la tête « metaresearch » (Gemma)0,016
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,022
Score d'incertitude au seuil0,075

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0080,016
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0070,030
Communication savante0,0100,014
Science ouverte0,0010,010
Intégrité de la recherche0,0040,012
Charge utile insuffisante (le modèle a refusé de juger)0,0220,005

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,080
Tête enseignante GPT0,325
Écart entre enseignants0,245 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2017
Routes d'admission1
Résumé présentoui

Explorer davantage

Même sujetEducation and Critical Thinking DevelopmentTravaux en français237 207