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Record W6991590494

The Historiography of Seventeeth-Century La Florida

2022· article· en· W6991590494 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of International Crisis and Risk Communication Research · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies in Central America
Canadian institutionsnot available
Fundersnot available
KeywordsHistoriographyColonialismIndigenousNarrativeEmpirePeriod (music)Drama
DOInot available

Abstract

fetched live from OpenAlex

The historiography of seventeenth-century La Florida (which Spain claimed reached from the Florida Keys north to Newfoundland and west to "the mines of Mexico") is, like the Spanish empire itself, less rich than its sixteenth-century counterpart. This is primarily because the declension narrative for this period lacks the drama of the early explorations and the martyrdoms of devoted missionaries which were the focus of much of the sixteenth-century literature. Most scholars trained in colonial Latin American history, as I was, focused not on Florida, but rather on sites deemed more important: the great indigenous empires and Spanish conquests of New Spain (Mexico) and Peru. As a graduate student at the University of Florida, I was warned that to work on Florida would lead to being "typecast as a local historian." Fortunately, I disregarded this advice and followed in the daunting footsteps of noted historians such as Michael V. Gannon, Eugene Lyon, Paul E. Hoffman, Amy Turner Bushnell and John H. Hann and archaeologists such as Kathleen A. Deagan and Jerald T. Milanich, all role models for exacting and collaborative research.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.491

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.042
GPT teacher head0.329
Teacher spread0.287 · 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 designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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