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Enregistrement W2065067566 · doi:10.1353/utq.0.0372

How Mathematicians Think: Using Ambiguity, Contradiction, and Paradox to Create Mathematics (review)

2009· article· en· W2065067566 sur OpenAlexvenueno aff
Barbara Lee Keyfitz

Notice bibliographique

RevueUniversity of Toronto Quarterly · 2009
Typearticle
Langueen
DomaineArts and Humanities
ThématiquePhilosophy and History of Science
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésContradictionAmbiguityCreativityMathematics educationEpistemologySociologyMathematicsPsychologyPhilosophyLinguisticsSocial psychology

Résumé

récupéré en direct d'OpenAlex

Reviewed by: How Mathematicians Think: Using Ambiguity, Contradiction, and Paradox to Create Mathematics Barbara Lee Keyfitz (bio) William Byers. How Mathematicians Think: Using Ambiguity, Contradiction, and Paradox to Create Mathematics. Princeton University Press. viii, 416. US$35.00 When I opened this book, I wondered what it might have in common with Jerome Groopman’s polemical How Doctors Think (2007). Groopman is critical of the education of doctors: he is angry that they do not listen to [End Page 141] their patients or admit their uncertainties, and is upset at the toll in morbidity and mortality caused by their attitude. Like Groopman, Byers is a man with a mission: he wants to correct what he claims are common attitudes about mathematical creativity, and to explicate a new paradigm. And although he does not criticize the education of mathematicians, his book has important things to say about education. The book’s subtitle conveys the message: new mathematics results from resolving ambiguities in mathematical (or physical) concepts, overcoming apparently contradictory evidence, and explaining paradoxical situations. Simply put, mathematicians make progress by clarifying things that had been unclear. Significant results do not follow from simply combining logical arguments, and new mathematics cannot be mechanically generated. Putting all known mathematics into a computer and letting it churn would be as silly as expecting those million monkeys to generate Shakespeare’s sonnets. Who needs to be persuaded of this? Mathematicians, whether they think about thinking or not, know that research is a creative act, though many might feel that Byers undervalues the importance of mastering proofs. And in fact, the duality Byers proposes (algorithm/creation, logic/intuition, rote/ideas) is less clear than he claims. For example, Byers refers to the 1977 proof by Kenneth Appel and Wolfgang Haaken of the celebrated four-colour theorem, but ignores the intense controversy that arose from their use of computers in the proof. Hard cases may make bad law, but I would have liked to see Byers deal with Thomas Hales’s 1998 proof of the Kepler conjecture, which states that the familiar ‘cannonball’ arrangement of identical spheres is an optimal packing. The prestigious Annals of Mathematics, unable after much agonizing to decide whether the proof (250 pages of text and three gigabytes of computer code) was correct or not, accepted the paper with an unprecedented warning. In short, research mathematics is currently experiencing intense conflict on the nature of mathematical proof, and on questions of truth and value in mathematics, at a level that is both deeper and more practical than Byers’s ruminations on the numinousness of defining infinity. The book is intended for non-mathematicians, and although people unfamiliar with undergraduate mathematics and physics will miss the point of some examples (those involving quantum mechanics, for instance), most of the discussion is motivated by very simple examples. Byers is particularly strong on reminding the world that mathematical ideas that are now taken for granted, like continuity and differential calculus, were not only revolutionary but required a long period of gestation. The narrative is peppered with anecdotes from the autobiographies of esteemed mathematicians. Repeatedly, mathematicians recount the pivotal moments when they developed for themselves examples of ambiguity. Fields medallist William Thurston recalls his childhood discovery that the [End Page 142] expression 134/29 was both an instruction (‘carry out this division’) and a number. The tension between the interpretation of a fraction as a process and as a meaningful expression is an elementary but lovely example of the ambiguity that pervades mathematics. To anyone who has experienced such a flash of transcendence, or who has listened to children forming their own pictures of mathematics, this is a key insight into how mathematics is learned. Thus, mathematics teachers should learn to think like mathematicians (even if they think about relatively elementary mathematics), so that they will respect their pupils’ forays into mathematical thought. Byers’s perspective is sunny, his mood enthusiastic. He appears to like his subjects (other mathematicians like himself), and, in contrast to Groopman, he has no quarrel with the way they conduct their business. But, in light of current concerns over the learning of mathematics, one can deduce from his book a message similar...

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)0,002
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants1,000
Score d'incertitude au seuil0,021

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,007
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0030,004
Études des sciences et des technologies0,0000,001
Communication savante0,0030,005
Science ouverte0,0010,001
Intégrité de la recherche0,0020,004
Charge utile insuffisante (le modèle a refusé de juger)0,0060,002

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 Opus0,032
Tête enseignante GPT0,211
Écart entre enseignants0,179 · 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.

Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

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

En bref

Citations0
Publié2009
Routes d'admission1
Résumé présentoui

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