MétaCan
Menu
Back to cohort
Record W1605303558

The Enduring French Creole Community of Old Mines, Missouri

2003· article· en· W1605303558 on OpenAlexaboutno aff
Walter A. Schroeder

Bibliographic record

VenueHistorical geography · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsCreole languageArchaeologyGeographyHistoryQuarter (Canadian coin)Settlement (finance)
DOInot available

Abstract

fetched live from OpenAlex

French lead miners, fur traders, and farmers were living in Missouri for eighty years before the Louisiana Purchase. Their presence is splendidly preserved in French Creole houses at Ste. Genevieve, now a national “museum village” with the largest collection of French Creole buildings in the United States, and in village layouts and remnants of common-field landscapes at Ste. Genevieve, Florissant, St. Charles, and Portage des Sioux. At the beginning of the twenty-first century, however, only in the obscure community of Old Mines do the daily lifeways of the residents perpetuate vestiges of a “French way.” Old Mines is a dispersed rural Ozarks community of mostly French Canadian origin in Missouri’s northeastern Washington County six miles north of the county seat of Potosi, sixty miles south of downtown St. Louis, and thirty miles west of the Mississippi River (Figure 1). 1 Some 1,000 people live on its forty square miles of wooded hills. The entire northeastern quadrant of Washington County constitutes a larger settlement region of French Creoles and includes another 2,000 people in the daughter communities of Fertile, Cannon Mines, Baryties, Tiff, Bellefontaine, Shibboleth, Cadet, Kingston, and Richwoods. Whereas better-known Ste. Genevieve, St. Charles, and St. Louis vigorously promote their past Frenchness to attract attention, Old Mines has continued its distinctive cultural traditions without conscious effort. It has quietly and passively evolved over the centuries, always tardily. Old Mines is an “old landscape” in the sense that the families that settled there in the late-eighteenth century are the same families that still live there after twelve generations, some descendants occupying the same houses for as long as seven generations. Unpaved ridge roads used for two centuries bend around long-abandoned mining pits in woodlands that two centuries of repeated cutting have seriously degraded. Though it appears old, poor and worn out to outsiders, the landscape is comfortable to its residents—it is home.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.618
Threshold uncertainty score0.769

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.175
Teacher spread0.167 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations2
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueHistorical geographySame topicAmerican Environmental and Regional HistoryFrench-language works237,207