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Enregistrement W1992197419 · doi:10.1353/aph.2004.0032

Trying to Figure It All Out

2004· article· en· W1992197419 sur OpenAlexaboutno aff
Glade Brosi

Notice bibliographique

RevueAppalachian heritage · 2004
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueDiverse Educational Innovations Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHistoryAcreConversationArt historyVisual artsArtSociology

Résumé

récupéré en direct d'OpenAlex

FICTION Trying to Figure It All Out Glade Brosi "QUITTING TIME, CURLEY." The words hit me like a blast of cool air in July. I unhooked my tool belt and started to roll up the tangle of extension cords and air hoses. I hurried so I could get my check and go home. When everything was picked up, I climbed down from the second story deck. Having spent the day standing on shaky 2x4s handing sheets of plywood up to the roof, I was tired and glad to be done. This was a big house, at least six thousand square feet, and it seemed to be built straight out of the mountain. I hated this house because it was so tall. Owners and architects don't think about working sixty feet up on walk-boards and ladders. I trudged through the thick rhododendron back to my truck. The other guys were leaning on their cars and trucks like they did every day; I guess they were getting up the energy to go home. Donnie and Sam were having their usual conversation. "Thirty thousand an acre, and you've got to buy at least five. That's a hundred and fifty grand just for the damn lot, and then there's this damn ugly house. I just can't figure out how someone has that much money." Sam took off his shirt, shook it out and put it on again, pondering the question that Donnie asked him every day. He pulled a cigarette out and lit it, making a face to let everyone know that he was thinking. "I won ten thousand over there in Cherokee once, and it was gone in a week. I don't know how these people get their money, but I'm glad I don't live here in all these damn brambles. One of these trees is bound to fall and knock down that house." I put my tool belt in the back of my truck and opened the door. "Hey, Curley," Donnie called, "you going to the bank?" I smiled, "It's Friday." Driving out, I looked around at the subdivision. Rock walls lined the roadside, and wood ducks and a few Canada geese swam in two tree-lined ponds. A beautiful stream ran alongside the road spilling over rocks into deep pools. The road was long and wide, and you couldn't see houses—just fancy brass signs that said the family names. The heavy ornate exit gate opened automatically. I feltbetter being out 33 with the rest of the world. That gate made me nervous. I grew up around farm gates, but they don't bother me. When I got to the bank, it was filled with people cashing their paychecks. The line was long, and I was relieved when Donnie came inbehind me. It was gonna be a long wait, and I like talking to Donnie. He is a fat guy with a constant five-o'clock-shadow and big hands. Both of us were foreigners in North Carolina, having moved down from Kentucky, and we were becoming friends. "Hey, Kentucky, damn glad it's Friday, aren't you?" "Yeah," I had only been in Sylva for a few weeks, and I was still feeling shy. We talked about basketball until it was our turn. When my check was cashed, I left the bank and lingered outside, waiting to say goodbye . His eyes shining with kindness, Donnie asked, "Why don't you come and eat dinner with my boy and my woman?" Looking down at my patched jeans and dirty boots, I said that I didn't know, but he reassured me that he really wanted my company. I got in his truck, leaving mine at the bank. Before I could get in, Donnie had to scoot and rearrange a considerable number of wrappers and chip bags so I could sit down. I sank comfortably into the seat. When I was in college I rode in many of my friends' fancy cars, even a Jaguar once, but I never felt really comfortable in anything but dirty "beater" trucks like mine. Donnie turned the key, but it wouldn't crank. "Care to...

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: Empirique
Score de désaccord entre enseignants0,576
Score d'incertitude au seuil1,000

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 technologies0,0000,000
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 Opus0,061
Tête enseignante GPT0,277
Écart entre enseignants0,216 · 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
Publié2004
Routes d'admission1
Résumé présentoui

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