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Record W7065775699

The Epic of Greater Florida: Florida's Global Past

2022· article· en· W7065775699 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of International Crisis and Risk Communication Research · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAmerican History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsEPICContext (archaeology)Privilege (computing)ColonialismPoliticsPolitical history
DOInot available

Abstract

fetched live from OpenAlex

At the 1932 American Historical Association meeting in Toronto, Canada, Herbert E. Bolton gave a prophetic yet largely ignored address titled, "The Epic of Greater America." In his speech, the AHA president pondered why there was no major American history publication that placed the United States' past within the context of the Western Hemisphere. Bolton emphasized his point by exploiting the Eurocentric focus of the profession at the time, noting that "European history cannot be learned from books dealing alone with England, or France, or Germany, or Italy, or Russia." He went on to say that historians should not confine American history to the political boundaries of nation-states or privilege the histories of Mexico, Canada, or the United States due to their prominence in modern North America. Bolton believed that colonial history appeared most conducive to the approach he advocated but challenged nineteenth- and twentieth-century historians to adopt similar perspectives, hoping to inspire them to dig deep into their sources and locate those connections in United States history that fit into a larger hemispheric narrative.

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)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.211
Threshold uncertainty score0.419

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.004
Scholarly communication0.0050.004
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.000

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 head0.032
GPT teacher head0.315
Teacher spread0.283 · 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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