Notice bibliographique
Résumé
One of Hermann Hesse's masterpieces is Siddhartha (1922). Hesse won the Nobel Prize for literature in 1946. This book has nothing to do with science; it is a philosophical essay of the adventures of a man living at the time of the Buddha. Among the numerous extrapolations related to science that one can draw from this book, I selected 2 representative ones (1). The first relates to “wisdom,” which in our context of interest can be equated with “imagination.” Note that Govinda is Siddhartha's friend. Siddhartha says: “Wisdom is not expressible. Wisdom, when a wise man tries to express it, it always sounds like foolishness.” “Are you joking?” asked Govinda. “I am not joking. I am telling you what I have discovered. Knowledge can be expressed, but not wisdom. One can discover it, one can live it, one can be borne along with it, one can do miracles with it, but one cannot express it and teach it. This is what I already sensed as a youth, what drove me away from teachers.” Another aspect we teach our research graduate students is to first develop a hypothesis and then design experiments to prove or disprove the hypothesis. This “scientific method” has many important ramifications, because we all know that disproving a hypothesis is a kind of a disaster because the data would not usually be publishable and the time spent (sometimes years) would be wasted. Audacious hypotheses are attractive to highly successful scientists (who are not going to do the work but will share the glory) and rather dangerous for young investigators, as I have indicated before (2). It is also well known that numerous biology papers are not reproducible, mainly because many of us are obsessed with proving our hypothesis is correct (and publishing it), rather than showing it incorrect (and putting it on the shelf). Here is what Siddhartha says on the subject: Siddhartha says, “What should I have to tell you, venerable one? Perhaps that you seek overmuch? That you seek so much, you do not find?” “How is that?” asked Govinda. “When someone seeks,” says Siddhartha, “it can easily happen, but his eyes only see the thing he is seeking and that he is incapable of finding anything, incapable of taking anything in, because he is always only thinking about what he is seeking, because he has an object, a goal, because he is possessed by the goal. Seeking means having a goal, but finding means being free, open, having no goal. Perhaps you, venerable one, are indeed a seeker, for in striving after your goal, there is much you fail to see that is right before your eyes.”
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,012 | 0,011 |
| Communication savante | 0,010 | 0,008 |
| Science ouverte | 0,001 | 0,006 |
| Intégrité de la recherche | 0,002 | 0,011 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,019 | 0,008 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».