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Record W7067702899

The Modern Tall Tales Texans Tell Kids

2019· article· en· W7067702899 on OpenAlexaboutno aff

Bibliographic record

VenueScholarWorks @ UTRGV (The University of Texas Rio Grande Valley) · 2019
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsChoseWhite (mutation)LegendRidiculousIce creamMythologyMistakeQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score0.641

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.203
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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