The Modern Tall Tales Texans Tell Kids
Notice bibliographique
Résumé
We Texans have long had a reputation for tall tales, for stretching the truth in entertaining ways. I wondered to what extent this cultural DNA has survived. So I asked this question of Texans on Facebook: What is the most outrageous white lie you ever told your kids? I got several hundred responses and chose these as the best among them. Cynthia told her kids: “Oh. The smoke detector is a Santa camcorder. How do ya think Santa knows if you are naughty or nice?” Jim said that his uncle taught them that windmills were cow fans. Kept all those cows cool in the hot months. Many wrote that they told their kids, “The ice cream truck turned on the music to signal that it was out of ice cream.” This bum steer was so popular as a submission that it no doubt rates as an urban legend for kids. Tammy said that as she passed the cotton fields on the way to Port Arthur she would say to her northern-raised grandson: “See, we grow our snow here.” And from Rose we have this: “To get my boys to let me trim their nails we would plant them in the window box and watch them grow.” Rose actually planted one bean for each. Very clever Rose. Tammy P. said, “I had my kids convinced that I could see through walls because all moms had superpowers.” Rhonda had a great one that she told her children. “Sorry kids, you can only go to Chuck E. Cheese if you’ve been invited to a birthday party.” Evidently a company rule. David had his youngest daughter convinced he could see through walls. He told her to run to any part of the house and he’d tell her where she was. Dave just had to listen to her footsteps and never missed. His daughter was blown away by his omnipotence. Leah told her kids she was a retired ninja. She had an impressive large necklace that looked like an award and so that was her secret ninja badge. Unfortunately her ninja suit was always at the cleaners. Kris would tell his kids Twilight Zone stories as though they happened to him. It was part of his autobiography. I love this from Samantha: “When you go through the drive-thru they give you car fries and house fries.” So once the kids had had a few fries, she’d say, “Sorry, that’s all the car fries they gave us. Have to wait now until we get home.” Glynda said her kid wanted to ride the elephant at the circus and she said, “You need an elephant riding license for that. Unfortunately, we don’t have one.” And we have this about a fish tank where all the fish died. Kristi recalls, “Well, we were cleaning the tank and its contents, and preparing the water for new fish while we waited for pay day so we could buy more. The kids were disappointed when they came home from school and there were no fish. So I convinced them that we had bought ‘crystal’ fish that are crystal clear. I told them if you watch real close you’ll see the reflection of the lights on their scales occasionally as they swim by. Entertained them for days.” Karen M. has the tallest tale I think, if not the most devious. She said, “My youngest refused to eat meat (or any protein) as a child. From 3 to about 12, my kids believed I would take them to the doctor for a ‘meat shot’ if their protein wasn’t eaten. I showed them the meat shot injector, my turkey baster.” So, like I said, I’m glad to see we Texans have not lost our talent for tall tales. Edward “Tex” O’Reilly, creator of Pecos Bill, would be proud of us.
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.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».