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O campo da história e as"obras fronteiriças": algumas observações sobre a produção historiográfica brasileira e uma proposta de conciliação

2009· article· pt· W2100345895 on OpenAlexaboutno aff
Raquel Glezer, Sara Albieri

Bibliographic record

VenueRevista do Instituto de Estudos Brasileiros · 2009
Typearticle
Languagept
FieldArts and Humanities
TopicHistory of Education Research in Brazil
Canadian institutionsnot available
Fundersnot available
KeywordsHistoriographyNarrativeQuarter (Canadian coin)Boundary (topology)Value (mathematics)HistorySociologyLiteratureArt historyHumanitiesPhilosophyArtComputer scienceMathematics

Abstract

fetched live from OpenAlex

The goal of this article is to try to identify a rather new configuration in Brazilian cultural and historiographic production -the increase in"boundary works" -and to outline a discussion of their epistemic status as compared to academic historiography. In the last quarter of a century the rising numbers of published academic history books probably reflects the recent expansion of undergraduate and graduate History courses and the increase in more educated readers. This was followed by an equivalent rise in what we here call"boundary works" -historical literature that incorporates academic research procedures but also makes free and liberal use of the resources of literary imagination and narrative. We propose that a return to the discussion of epistemic boundaries in science could be of benefit to an appraisal of the historiographic value of"boundary works".

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)0.005
metaresearch head score (Gemma)0.016
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: none
Teacher disagreement score0.077
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.008
Science and technology studies0.0050.019
Scholarly communication0.0100.007
Open science0.0010.003
Research integrity0.0010.002
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 head0.062
GPT teacher head0.322
Teacher spread0.260 · 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

Citations4
Published2009
Admission routes1
Has abstractyes

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Same venueRevista do Instituto de Estudos BrasileirosSame topicHistory of Education Research in BrazilFrench-language works237,207