Notice bibliographique
Résumé
Abstract Already, and with good reason, light pollution is recognized as one of the most damaging legacies that current “civilization“ is bequeathing to its children. Denying them the opportunity, even the right, to experience visually the majesty and awe of the universe has obvious repercussions for our science, and other contributors to this meeting are addressing those eloquently. But it is also critically important to place light pollution in the cadre of the general environmental degradation which unbridled technology is causing. The amount of power consumed by one outdoor light is only a minuscule drop in the ocean, but enough of those drops make an ocean. Using low-wattage bulbs, and getting more power out of them via halogen or LED technology, can ease the drain on the supply of power, but when several can be run, and run brighter, than a single tungsten lamp and cost is the only goal, the consumer simply installs more of them. We all hope for a restored and sustainable environment, but the challenge is first to learn and practice the essential difference between “want“ and “need”. A more specific challenge is to educate the affluent countries about the deleterious effects of nighttime lights on human health and on other bio-systems and species, and to explain the truth about “security“ issues. If astronomers place the needs of their own science too foremost they risk the criticism of selfishness: why are our own scientific requirements more important than the pleasure and health benefits of a whole town in pursuing sports activities outdoors after sunset? How can the need to illuminate streets, intersections, parking lots and to deter intruders be less necessary for personal and community safety and wellbeing than some rather esoteric scientific opportunities for a small population of astronomers? Dark Sky Preserves are a lovely concept but they are not the full answer; reducing light pollution is the responsibility of every citizen, and ensuring good astronomical conditions in a few remote parks must does not excuse the prevailing cavalier attitudes that are causing light pollution to be blithely accelerated everywhere else. The solution is Education, and for astronomers the key is to tone down the astronomically important and to emphasize the many general benefits of reducing light pollution. It is only when the non-astronomical community starts offering the astronomical advantages too of its own volition that we will see true progress in fighting this most pervasive of modern environmental disasters.
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 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».