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Record W4407767175 · doi:10.4324/9781003463757

The Evolution of Literature in the Americas

2025· book· en· W4407767175 on OpenAlexaboutno aff
Earl E. Fitz

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicLatin American Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyHistory

Abstract

fetched live from OpenAlex

This book offers a systematic and comparative history of the evolution of literature in the Americas, from the beginning to the present day. It begins with an introduction that assesses the development of the field and then proceeds to a chapter on the literature of Pre-Columbian and indigenous America. It then moves forward chronologically, from the arrival of the Europeans (beginning in 1492) to the year 2026. Including indigenous literature, the other American literatures represented in the book are those of Canada (both Francophone and Anglophone), the United States, the Caribbean (Francophone and Anglophone), Spanish America, and Brazil. Not every book ever written in the Americas is included, of course; only those that, in the author’s estimation, offer some valid point of comparison with other American literary cultures. These points of comparison include issues of theme, genre, literary periods, literature and other disciplines, such as history, art, music, or politics, cases of influence and reception, and translation. The book’s emphasis is on viewing American literature from a hemispheric and comparative lens.

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)0.002
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.035
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0080.011
Science and technology studies0.0070.011
Scholarly communication0.0120.006
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.007
GPT teacher head0.299
Teacher spread0.292 · 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
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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