Notice bibliographique
Résumé
The definitions of “good” and “bad” typically belong to the field of ethics. Does physics have a property that can distinguish and group “good” and “bad” events using only its own physical instruments and equations? Although the physical property “entropy” as a measure of chaos appears to be the prime candidate for such a grouping, it is in fact unsuitable for a detailed analysis. However, the “Entropic Potential of an Event”, which describes the influence of the current event to the future change in entropy, perfectly suits this role. While the second law of thermodynamics dictates the direction of entropy change in an isolated system it does not dictate the speed of entropy growth. The speed of entropy growth on Earth is changing in particular due to human-related events, which ethics calls "good" or "bad". Such events, which ethics defines as "good", always eventually decelerate entropy growth. In contrast, events which ethics defines as "bad", always eventually accelerate entropy growth. This article presents the methods of calculating the “Entropic Potential of an Event” for the cases: “A commander receives an order to bombard a city”, “A cancer tumor is growing inside a human’s body” and other. This article also stresses the importance of the “Time factor” since only for a sufficiently large time interval T the “En-tropic Potential of an Event” Z(T, A) can be estimated and potentially precisely calculated. This article also checks on a scale of several centuries if real-life events are averaged in such a way that their entropic potentials become negligible. This analysis shows that prior 1750 the averaged entropic potential of events occurred in human society was negative and had the value of approximately 10^17 bits (value is an initial approximation). The situation after the industrial revolution is more complicated, as past 1750 human civilization began to utilize non-renewable resources (oil, coal, gas, etc.) for warming, cooling, and transportation with a corresponding entropy growth. The term “entropy” is applicable to a very wide range of events, from physics and chemistry to art and information. Correspondingly, the significant advantages of the “Entropic Potential of an Event” as a physical foundation of the intuitive terms “good” and “bad” is its measurability, ability to compare events of entirely different natures and its universality Weak point of "Utilitarianism" is inability to quantify, compare, or measure happiness or well-being which is postulated to be the ultimate goal of moral behavior. The "Entropic Potential of an Event" solves this problem and presents in formulas (and sometime calculates in bits) the Entropic Potentials of events we normally label as "good" and "bad".
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».