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Enregistrement W2955043852 · doi:10.1353/plc.2019.0112

Flight to Canada, and: Elevator

2019· article· en· W2955043852 sur OpenAlexaboutno aff
Amina Gautier

Notice bibliographique

RevuePleiades · 2019
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueCanadian Identity and History
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésNothingDreamHatredDisappointmentParadeFeelingWhite (mutation)HistoryPolitical scienceLawMedia studiesSociologyPsychologyPoliticsPhilosophySocial psychology

Résumé

récupéré en direct d'OpenAlex

Flight to Canada, and: Elevator Amina Gautier (bio) Flight to Canada The morning after the election, they awaken feeling drunk and dizzy, hoping either it was all a dream, or that, while they'd slept, those last red states would turn blue. They had been poised for a history making moment—the first black president being succeeded by the first woman—but instead they woke to a morning of mourning, a day of disappointment. They can't imagine staying here—they are afraid of what their country will become. The nicest thing they can say about their incoming leader is that he is inept, unqualified. But that they will not say because they will say nothing about him, will not mention his name within the sanctity of their home. They predict his win will give license to racial hatred; they fear what this election will pull from the shadows. "We're moving to Canada!" they announce before their morning coffee and even after the caffeine kicks in, their minds remain unchanged. There were rallying cries of moving to Canada back when Kerry lost, but they were grad students then and couldn't afford to become expatriates without finishing their degrees. This time around, they are working adults with salaries and emergency savings, although they haven't saved for an emergency like this. They have never been to Canada; the northern portion of the continent has never held their interest. They think of it only now that their backs are against the wall, now that they are cornered, now that the votes have betrayed their hopes, now that there will be a despot-in-chief, now that they want out. They pull boxes of files and go through all of their policies. They trudge out their calculators and sit at their kitchen table, barely able to see one another over the boxes piled high. What is the penalty for cashing out a 403b early? Which IRA is the one that dings you—the Roth or the not-Roth? How much money can they get their hands on without first having to retire? Frequent flyers miles! How many do they need for two one way tickets to Canada? But the numbers are depressing. Even the calculators are depressing—they never tally the numbers to match their hopes. "Which part do we want?" she asks. "That might make a difference in expense. The side above Washington or the New York/Vermont side? But we don't speak French." "That's only Montreal," he reminds her. "How about a city with a basketball team?" she suggests, knowing what he likes. "Vancouver? Toronto?" "Only Toronto," he says. "The Grizzlies went to Memphis." "You mean there's only one team in Canada and we still hang their flag in all our stadiums and sing the anthem?" She doesn't think this is fair. "Naismith was Canadian," he says. "It won't bother you once we're there." "Once we're there," she repeats, her breath catching on the promise. "Never been to a Raptors game," he says, wistful. He remembers the '98 draft, when Toronto traded [End Page 72] with Golden State for Vince Carter. The team was in its infancy back then, just three years old. He remembers Carter's first years—who could forget those amazing dunks? The fans had been crazy for him, their obsession dubbed "Vinsanity." The Raptors had good runs under Carter, then McGrady, and later under Bosh. Some of their former players and coaches were now Hall of Famers. "They've done well for a young team," he says. He wouldn't mind going to the games. She speculates, "Once we're there, we'll have to eat mayonnaise on our burgers and end our sentences with an uptick." She suggests a practice run to McDonald's. They bring back value meals, unwrap their burgers, peel back the top buns, and slather on mayonnaise. "After you," he says. "You first," she says, ever gracious. "Together," they say. They close their eyes and take tentative bites. The food sticks in their throats. "This tastes awful, eh?" he asks. They drink cupfuls of Canada Dry ginger ale to wash it down. The...

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: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,259
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)0,0010,000

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.

Tête enseignante Opus0,004
Tête enseignante GPT0,194
Écart entre enseignants0,190 · 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
Publié2019
Routes d'admission1
Résumé présentoui

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