Notice bibliographique
Résumé
“Animals are such agreeable friends – they ask no questions, they pass no criticisms,” George Eliot wrote long ago. Often we believe, because we love an animal very much, that we are loved in return. This usually applies to companion dogs and cats, who are limited to one section in this chapter because such human–pet relationships are so common and universal. But that our animal friends love us can be a dangerous assumption. Dale Lott’s (2002) mother, who thought that she and her horse Smoky were great buddies, was killed when he suddenly threw himself backward so that the saddle horn was driven into her heart. Lott also describes a rancher in Idaho who raised a bull from a calf. Even when the animal was full-grown, he would let the man pet him and climb onto his back. Then one day the bull killed the man, mutilating his body and refusing to allow it to be removed from the corral. Lott writes that bison, for example, are “immune to our charm, sincerity, personal integrity and peaceful intentions,” no matter what we may think. One man, who kept a few pet bison, was stunned one day when a young bull attacked him. The upward thrust of his horn into the man’s belly and ribs was so strong that it chucked him over the fence where a veterinarian was able to save his life. We cannot ever know if people and animals, even reptiles, can be best buddies. The people may think they are, but their buddy may “think” otherwise, as the above examples indicate. The first four relationships described in this chapter about Elsa, the lion, mountain gorillas, olive baboons, and sociable whales do seem to depict true friendship. The animals are free to stay or leave the people they relate to, so there is equality between them. The second type of example includes horses and elephants who work for individual people. These animals and their human exploiters may have a good relationship, but it is not equitable. The animals must do what the humans expect and want. The same is true for the wolf Brenin and the hyrax Tsavo (and dogs), examples of the third type, but these animals, at least, were not expected to work for their keep. They did not try to escape from their close human buddies but were still subject to their humans’ whims. The fourth and final type includes individuals who were subject to close human supervision by researchers devoted to teaching them to learn information that presumably exhibited their intelligence. These animals had no life of their own, although they were very close to their teachers who spent thousands of hours with them, drilling them on subjects important to people. But they were locked up at night when their work was done.
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 | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,008 | 0,022 |
| Communication savante | 0,008 | 0,015 |
| Science ouverte | 0,001 | 0,007 |
| Intégrité de la recherche | 0,004 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,022 | 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 ».