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Enregistrement W4362509075 · doi:10.1353/rvt.2023.0013

Something About Shoes

2023· article· en· W4362509075 sur OpenAlexaboutno aff
Diane Gottlieb

Notice bibliographique

RevueRiver teeth · 2023
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueArchitecture, Design, and Social History
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDuskYardPorchHorseback ridingDirtArchaeologyArtVisual artsGeographyArt historyCartographyEcology

Résumé

récupéré en direct d'OpenAlex

Something About Shoes Diane Gottlieb (bio) At the end of summer in 1995, we left the suburbs for Woodstock. The house, on Allen Drive, was built in 1950. Ten years before I was born. Eight before my husband Jay. Acres of woods behind us, and set way back from the road, we couldn’t hear the odd car passing. Only the sounds of rustling leaves in the wind, rain against windows. Twigs snapping underfoot when we collected firewood in the fall. Sometimes coyotes howled in the night. Our dogs had little to bark at, but they loved to chase the deer. We’d see a herd, ten, twelve of them, in the early mornings, at dusk, among tall, thin pines, too many to count, their deep green scent, telling us they’d keep guard. To protect us from black bears, which were numerous our first fall in Woodstock, town workers posted signs warning residents to place trash barrels far from their houses. Measures we took to keep ourselves safe. Trash barrels and bears. Like seatbelts and cars. Jay always took the trash out to the edge of the road. 21 Allen Drive was the biggest house I’d ever lived in. Center-hall colonial. Four nice-sized bedrooms. Brick and wood frame. Our realtor said it had good bones. My Labrador once brought a huge bone into the house. Carried it in her mouth. Maybe a femur. Probably a deer’s. [End Page 45] Had it died of natural causes? Shot dead by a hunter’s bullet? Struck by car before wandering back into the woods? Our master bedroom had a walk-in closet. It could have been a sleep-in closet—it was that big. One side for my clothes. Sweaters, warm sweats, fleece—I run cold. The other side for Jay’s. White, starched shirts, hanging stiff in dry-cleaner-plastic. Several wool suits—navy pinstripe, gray. Shoes. Black loafers. Brown wingtips. Sneakers. Rollerblades. Slides. Several polos and T-shirts, faded pairs of jeans. So much clothing to get rid of after he died. After the car crash that killed him just four months after we moved into the house on Allen Drive, I’d often run my hands over Jay’s shirts, press my face into his suits, the wool still fresh with his scent. I wondered when the right time would come to box the clothes. Give them away. Pass his scent on to someone who thrifted, who bought their clothes from Goodwill. They’d wear him when they put on a jacket, smoothed out a crease. His neck would touch theirs, as they buttoned the top button, as they added a tie. I’d always avoided thrift shops. I never wanted used clothes. I feared absorbing a stranger’s energy. Maybe she was an anxious stranger, or angry, unkind, depressed. Maybe she was dead. I didn’t want to take that chance. Even after I’d laundered the clothing, some part of the past would remain in the weave. Shortly before we moved to Woodstock, I watched a woman as she walked in the aisle of our old synagogue with her two young kids. I’d heard she’d just lost her husband—I don’t know how. I turned to Jay. Told him how incredibly sad I was. Everyone feels some degree of sadness, I imagine, when they face people in mourning. But this sadness made its way into my bones. I couldn’t shake it. Maybe it was a measure I took to prepare myself. Maybe I had some inner knowing we would be next. Another woman from our old neighborhood in the suburbs lost her husband in the ocean two years earlier. She, her husband, and her son were vacationing in Montauk, when he had a heart attack, body surfing a small wave. I called her once to check on her. She told me she still had her husband’s dirty laundry in the hamper. His shoes on a mat by the door. Joan Didion wrote about holding onto her husband’s shoes after he died. There’s something about shoes. [End Page 46] One morning, around six months after Jay died...

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,902
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

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.

Tête enseignante Opus0,044
Tête enseignante GPT0,243
Écart entre enseignants0,199 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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