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Interview with Ray Villanueva

2010· article· en· W7047945548 sur OpenAlexaboutno aff

Notice bibliographique

RevueDigital Commons - CSUMB (California State University, Monterey Bay) · 2010
Typearticle
Langueen
DomaineEngineering
ThématiqueMagnetic Field Sensors Techniques
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésChinatownQuarter (Canadian coin)State (computer science)Work (physics)Accident (philosophy)Brother
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Mr. Ray Villanueva begins his story of Chinatown by telling how his mother and aunts came to Salinas to work in the fields. They were from a village in the state of Jalisco, Mexico. His Father, and two uncles, Felix and Ramon, came from the Philippines. They hopped a cargo ship from Hawaii, landed in San Pedro, and came to Salinas to work in the fields. His parents met in 1946 and were married in 1947. Ray was born in 1950. At age three or four Ray becomes aware that he lives in a big house, with a big kitchen and lots of people. It is a labor camp. His father runs two labor camps. Ray starts Lincoln School, in Salinas, at age five. The other kids ask him, “Ray, where do you live?” “In a labor camp,” he says. “What’s a labor camp?” they ask. Ray still knows many of the classmates he went to school with. Many have deep roots in the community: The Gongs, Yees, Meyers, Boslers, Jeffries, and Pias. Ray’s dad liked to gamble at the Streamline pool hall and also at the Rex card room. Ray and his friends went into Chinatown and learned how to shine shoes for a quarter for the GIs from Ft. Ord. Mr. Singley, who later had a shop on Monterey street by Lacey's Auto parts and the United Café, taught him how to do a spit shine. They used pomade or kiwi polish to get a good shine. Ray also sold boiled com for a dime in Chinatown and in the labor camp. After his father would harvest a field, Ramon (the name his father called him), his father and sister would go and gather the corn from those fields. His grandmother boiled it for him, and the money they earned bought their school clothes. Ray remembers many of the businesses in Chinatown: Salinas Valley Market; Golden Dragon; the Shell gas station on Market; Republic Café; Leon’s Night Club; Lloyd, the barber; also, Santos, a Filipino barber; La Revancha; Sinaloa, and the Lotus Inn; and especially Mama’s, the family favorite which served traditional Filipino food. Ray talks about his family each having their favorite dish at Mama’s. A coffee can in the center of the table had spoons and all the serving dishes were different. Ray says he considers Chinatown like Salinas Hollywood. It was exciting with bars and clubs and GIs and restaurants. He says it was like a village. For him it stretched from Sun Street to Bridge to Market Street. There were a lot of labor camps on Sun Street. Ray was baptized at Cristo Rey by Padre Hermosa. He says Salinas then was only fields and cowboys. When industry came in the 60s, Nestles and Smuckers, and when the Main street underpass was built people moved away from Chinatown. Ray’s father bought a house near Front and Market in 1961. When he asked his Father why he had waited so long, he was told that prejudice against Filipinos prevented them from buying houses, and when they could they were only in certain areas. Ray was aware that his parents had faced discrimination. He says he did not feel it at school, at Lincoln and later, but he knows his father did. His father would tell him it was not right to talk to white women when Ray was older and would go with his friends to the theatres on Main Street. He is aware of prejudice toward Filipinos and Asians and has studied about the Salinas lettuce wars of the 40s and 50s. He tells a story of the Sunset Beach Filipino labor camp fire, and a restaurant on South Main that had a sign, “No dogs, or Filipinos.”

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,010
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,065
Score d'incertitude au seuil0,182

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,010
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0120,003
Communication savante0,0040,003
Science ouverte0,0010,004
Intégrité de la recherche0,0060,013
Charge utile insuffisante (le modèle a refusé de juger)0,0540,008

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 Opus0,008
Tête enseignante GPT0,174
Écart entre enseignants0,167 · 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 source (Gemma direct ou Codex distillé), 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
GenreAutre

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
Publié2010
Routes d'admission1
Résumé présentoui

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