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What do historians really think about biography?

2018· article· pt· W2887877753 on OpenAlexaff

Bibliographic record

VenueLetras de Hoje · 2018
Typearticle
Languagept
FieldArts and Humanities
TopicHistory of Education in Spain
Canadian institutionsYork University
Fundersnot available
KeywordsBiographyHumanitiesSkepticismPoliticsArtLiteraturePhilosophyPolitical scienceLawTheology

Abstract

fetched live from OpenAlex

This article explores the ways in which historians have thought about biography as a genre of writing about the past and how these attitudes have changed over the last fifty years or so, from skepticism and even hostility to increasing acceptance and even advocacy. It also examines some of the ways in which biography itself has evolved and the contribution of historians to this evolution, before concluding with an example from the author’s forthcoming biography of the 19th-century Spanish military and political figure Baldomero Espartero (1793-1879).***O que os historiadores realmente pensam sobre a biografia?***Este artigo examinava as varias caminhas que os historiadores pensava sobre o válor do gênero da biografia nas considerações do nosso passado, e a mudança nas manieras de ver biografia entre nos ultimos cinquentos anos: atitudes alterava de cetecismo e oposição ao aceitação, confiança, e promoçåo da biografia a un gênero respeitável da História. Tambem, o artigo considerava o evolução da biografia e o contribução dos Historiadores ao aquele evolução. Finalemente, o artigo vai concluir com un exemplo da biografia – que vai publicar sobre Baldomero Espartero (1793-1879) – escrevendo do mesmo autor deste artigo.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.497
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0250.003

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 head0.025
GPT teacher head0.262
Teacher spread0.237 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2018
Admission routes1
Has abstractyes

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