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Enregistrement W4385956526 · doi:10.5038/1911-9933.17.1.1966

Arts & Literature: Songs of My Ancestors

2023· article· en· W4385956526 sur OpenAlexvenueno aff
Kristina Gorcheva-Newberry

Notice bibliographique

RevueGenocide Studies and Prevention · 2023
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueRace, History, and American Society
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGenocideThe artsLiteratureArtVisual artsHistoryPolitical scienceLaw

Résumé

récupéré en direct d'OpenAlex

About the PieceAs an immigrant writer who's been living in the U.S. since 1995, I've often struggled to reconcile my cultural heritage with my newly adopted identity.Several years ago, my son and I travelled to Yerevan to meet my father's family and to participate in AGBU's (Armenian Global Benevolent Union) summer music program.Toward the end of the trip, we visited Komitas Museum-Institute and the Armenian Genocide Memorial complex, both of which left me speechless.Surrounded by other people's memories and testimonies, the photos of those murdered, tortured, and misplaced Armenians, I felt as though I'd been one of them.I wrote this story in their honor.-Kristina Gorcheva-Newberry, author of What Isn't Remembered and The Orchard. Songs of My AncestorsArmen had never seen his father.Or if he had, he couldn't remember.He was eight months old when his mother discovered that another woman, a neighbor, had gotten pregnant by his father.A plump voracious infant, whose only concern was breastmilk and warmth, Armen slept through it all-his mother's flight from Yerevan to Moscow, the painful divorce, her grief and tears.In the following years, his father hadn't called or voiced any desire to meet Armen.There were no birthday or holiday gifts, or money, other than the meager child-support allowance.When Armen was old enough to know the truth, his mother had already remarried a tall hairychested stranger, and for the next decade, the three of them shared a rather happy uncomplicated existence, filled with garlicky borsch, classical piano lessons, and weekend movies.His last name, Sarkisyan, was still his father's, betraying his Armenian identity, the fact that he was someone else's child, but Armen could've changed it as soon as he graduated and turned eighteen.And maybe he would've done just that had it not been for perestroika and the collapse of the Soviet Union and a sudden, much-coveted, opportunity to attend a conservatory in the U.S.A.To Armen, America represented the land of the daring and the escaped.There, no one cared about his nationality, and many girls found his looks exotic and his accent irresistible.During his second year at James Madison University, Armen fell in love with a part-Native American woman, a singer, AllStar Shining, whose skin was a beautiful nutmeg-brown, just like Armen's.It was a short blissful union built on tenderness and much laughter.Armen didn't know English in all its magnanimity and kept mispronouncing words and confusing body parts.AllStar Shining had blackberry nipples and a pebble-smooth belly and gorgeous hair, a waterfall that streamed down her arched back when she rode Armen in the dark.After she left, unexpectedly and without any warning, any fights or surliness, Armen discovered a long strand of shiny black hair coiling on her pillow.But nothing else.Armen felt bereft, but also embarrassed because he didn't know much about her, where she came from, or whether she would return.All he knew was that she loved salmon and hated cheese, and that her spirit animal was a squirrel.When Armen called his mother, she said that Native Americans were nomads, just like Armenians.They couldn't stay long in one place."They'd been forced to leave," Armen said."Their land had been stolen from them."

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,689
Score d'incertitude au seuil0,444

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
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)0,0000,000

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 Opus0,071
Tête enseignante GPT0,380
Écart entre enseignants0,309 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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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