Notice bibliographique
Résumé
I'VE BEEN ALLERGIC my whole life. As a child, I was sensible. I kept my distance. I was terrified of the black Labrador next door, his whipping tail and sharp white teeth. But in my twenties, like an idiot, I fell in love. Dog love, requited but impossible. They love me because they love everybody, and I love them even though their fur makes my hands break out in a fierce rash and their drool turns my cheeks red and swollen like a squirrel's, like I'm hoarding nuts for winter. I let dogs lick me anyway, and hoard their love. My partner is even more allergic than I am. Dogs, cats, dust, pollen, ragweed, lotion, detergent, peanuts, all nuts. His allergies are bad in spring and summer from the plants outside, bad in fall and winter from the recirculating indoor air. We go to friends' houses with pets and his lungs ache for days. We halfheartedly research lizards, birds, fish. I can't muster any interest in anything that wouldn't be interested in me, in repaying my care with companionship. I understand this to be the purpose of a pet, even though, or perhaps because, I've never had one. I shudder at pictures of hairless dogs online. Todd sneezes in the next room. I decide to volunteer. On the shelter application, I am asked to rank my choices: Cattery? Small critters? Website? Clerical? I write: 1.) Dogs 2.) Dogs 3.) Dogs I have to wait several months for an open orientation session, and when the day arrives the crowd squeezes into a large, rubber-matted room where obedience classes are held. It's March in west Michigan, and we stomp so much snow off our boots that the floor mats become saturated, covered in slush and burbling where we step. The staff don't care--the entire building is resolutely utilitarian, cinder block and concrete. There isn't a floor in the shelter, in either the animals' areas or the humans' offices, that couldn't be cleaned by dumping buckets of soapy water straight onto it. In the kennel area, this is exactly what staffers are doing, towing mop buckets and red wagons filled with pails of kibble to refill dog bowls, pails of drying feces scraped out of the kennels. The dog room is cacophonous, several aisles of large wire cages separated by gates to foil escapees. Tinny classical music plays under the insistent barking. Our tour continues to the admitting wing, where vet examinations and euthanizations are performed. We pass the behavioral testing room, the reception area, the cattery. There is no small critter room, so the critters' cages sit on open shelving near the cats, which glare through Plexiglas at the mice and hamsters. Back in the obedience room, the volunteer coordinator explains the rigid hierarchy: all volunteers must start with Reading with Fido, before ascending to Dog Walking, Jogging with Fido, or Puppy Petter. Each weekly shift, I am supposed to place a single blanket and toy on the floor of one of the small adoption-counseling rooms. I select a dog from the kennels, loop a lead around its head, guide it into the counseling room, and ignore it. I don't read to the dog, I am told, just quietly to myself, so the dogs can accustom themselves to being ignored. Since every dog at the shelter has been abandoned or surrendered, Reading with Fido seems to me like rubbing salt in a wound. But the dogs must impress people in these adoption rooms, have blown chances with prospective families by being too exuberant, too unruly. The constant disappointment of Reading with Fido teaches them to make a calm impression. They learn that their people will want to eat dinner and watch TV, not always walk or play. The dogs learn that they are not the center of humans' lives, even though we are inevitably at the center of theirs. For two hours every week, I put these dogs at the center of mine. Ivan, Sakura, Jasper, Ruby, Buster, Bostwick, Christmas, Wolfy, Miller. Fat old Miller, who looks at the sad blanket and single toy like it's Christmas morning, like I'm Santa Claus. …
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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,357 | 0,106 |
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 ».