MétaCan
Menu
Retour à la cohorte
Enregistrement W3215565066

Texas Used To Be Bigger (Sure, Texas Is Big – But It Used to Be Even Bigger)

2016· article· en· W3215565066 sur OpenAlexaboutno aff
William F. Strong

Notice bibliographique

RevueScholarWorks @ UTRGV (The University of Texas Rio Grande Valley) · 2016
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueLinguistic Variation and Morphology
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBusiness
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Texans have a kind of proverb that goes like this: “Driving across Texas isn’t a trip; it’s a damn career.” Texas is big, no doubt about that. But it used to be a lot bigger – about a fourth bigger. When Texas joined the United States in 1845, Texas’ borders (and shape) were quite different. The northern boundary of Texas in those days stretched all the way up into what is today southern Wyoming. It´s true. In those days, the northernmost town in Texas was not Dalhart, it was Rawlins. You think it’s a long way from Brownsville to Dalhart now – at 860 miles – try 1,400 miles to Rawlins. In 1845 a trip like that would have been measured in seasons, not days. We’ll leave in early spring and get there before winter sets in. Texas used to have a panhandle for the panhandle. It stretched north of the present day border and passed through prime Colorado Rockies real estate (including Vail) into Wyoming. They called that the stovepipe because that is what it looked like – a long skinny stovepipe, snaking northward. You can still find vestiges of Texas up there in that part of Wyoming. For instance, there is a creek up there named Texas Creek. Texas used to include what is today the panhandle of Oklahoma. That territory is comprised of three counties. One of them is still named Texas County. So some Oklahomans still live in Texas. Well, Texas County, anyway. The southwestern tip of Kansas was claimed by Texas. Dodge City was in Texas. Glad to know that. “Gunsmoke” always seemed like a Texas series. We know that Marshal Matt Dillon was born in San Antonio. His father was a Texas Ranger. It’s all coming together. New Mexico used to be about half its current size because Santa Fe and Taos and all the eastern part of the state was Texas. Texas was so big in 1845 that if you had put a hinge on the northernmost part and flipped it northward, Brownsville would have been in Northern Canada next to Hudson Bay. Don’t think those Brownsvillians would have liked trading the tropics for the tundra, but that would be the result. If you had flipped Texas southward, the people of Rawlins would have been in Peru. The East-West boundaries would have been about the same as they are today. Still, flip Texas eastward and you will have the El Pasoans trading their margaritas for mint juleps in Georgia. Flip it westward and the Beaumantians will be hanging ten with California surfer dudes. So what happened to all our land? The U.S. government bought it in 1850. For $10 million they bought our claims to our Wyoming, Colorado, New Mexico, Kansas, and Oklahoma – it came to 6.7 cents an acre. Seems like we sold out cheap, but we desperately needed the money then. And remember that $10 million in 1850 is $300 million in today’s dollars, which is almost enough to buy a nice vacation home in Vail. But, as I said, we really needed the money. We had a state to build and the only true assets we had in those days were land – and a tough, hardened people made of unbreakable spirits. So we sold the land and paid off debts and got a much more appealing shape to the state, a shape that fits nicely on t-shirts. So even though we sold off our lands, we are nonetheless no slouch of a state, especially when we drive it. We still measure distance in time. We still feel like we are crossing an enormous frontier when driving I-10 through West Texas or I-69 to the southern border. And this old Texas saying is still valid: “The sun has riz; the sun has set; and here I is in Texas yet.”

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)0,001
score de la tête « metaresearch » (Gemma)0,002
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: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,096
Score d'incertitude au seuil0,322

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0100,005
Communication savante0,0080,007
Science ouverte0,0010,004
Intégrité de la recherche0,0020,005
Charge utile insuffisante (le modèle a refusé de juger)0,0960,027

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 Opus0,061
Tête enseignante GPT0,282
Écart entre enseignants0,222 · 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
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
Publié2016
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueScholarWorks @ UTRGV (The University of Texas Rio Grande Valley)Même sujetLinguistic Variation and MorphologyTravaux en français237 207