Bibliographic record
Abstract
Place-Names of Indian Origin and Seminole Personal WIILIAM A. READ Introduction by Patricia Riles Wickman. University of Alabama Press, Tuscaloosa, 2004. xviii, 83 pp. $16.95 (paper), ISBN 0-8173-5071-3.Florida Place-Names of Indian Origin and Seminole Personal was written by William A. Read in 1934. The forward, written in 2003 by Patricia Riles Wickman, presents new information on Read's academic and intellectual background. Read was head of the English Department at Louisiana State University in Baton Rouge and was among the first scholars to establish the study of American Indian languages, particularly Indian place names. Read never traveled to during his research but corresponded with postmasters all over the state, as well as inhabitants who were rich with local knowledge. PlaceNames became the authoritative source for Maskoki, or Muscogee, language and family place names in and has influenced historical, anthropological, and linguistic study for the past 77 years. Read also wrote other publications on this subject in the broader region of the southeastern United States.Florida Place-Names is a compendium of geographic areas, landscapes, bodies of water, towns, hamlets, and villages in as of the time it was written. Read translated the meaning of the names where possible and listed alternative spellings and names. The entries include short anecdotes about particular locations. Many of the entries include references to maps which have place names on them, although no maps are included within the book itself.The book is divided into five sections: Names from the Dialects, Florida Place of Dubious and Unknown Origin, Imported Names, Sundry on Taylor's War Map, and Names of Various Indian Chiefs. The majority of the places listed in the book are Seminole-Creek in origin, but some are imports from other Indian nations listed throughout the book, such as Sioux, Iroquois, Hitchiti, Choctaw, Chickasaw, Algonquian, and Cherokee. Other listed names have Spanish and French influence originating in other states, as well as Canada and South America.Wickman suggests that the fact that Read never traveled to is a mixed blessing. Corresponding with informants from a distance perhaps allowed Read to collect information he might not have otherwise received. However, the absence of local interaction results in both a lack of pronunciation guides and a richer substance overall. …
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.052 | 0.008 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".