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Record W4286565490 · doi:10.3138/cart-2021-0018

Deconstructing the Atlases: Jaime Cortesão and the Transformation of the <i>Atlas Histórico do Brasil</i> into the <i>Atlas Histórico Escolar</i>

2022· article· fr· W4286565490 on OpenAlexvenueno aff
Renato Amado Peixoto

Bibliographic record

VenueCartographica The International Journal for Geographic Information and Geovisualization · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicGeographic Information Systems Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAtlas (anatomy)HumanitiesCartographyArtGeographyGeology

Abstract

fetched live from OpenAlex

Le projet d’un Atlas Histórico do Brasil (« Atlas historique du Brésil »), proposé en 1938 par le ministère des Affaires étrangères du Brésil à la veille de la commémoration du 50e anniversaire de la République, s’est concrétisé en 1959 sous le titre d’ Atlas Histórico Escolar (« Atlas historique scolaire »). Conçu comme un outil d’apprentissage et de mémorisation de l’histoire nationale et des aspirations pacifiques, humanistes et internationales du Brésil, l’ouvrage enseignait aux élèves le rôle des diplomates à cet égard. En examinant la transformation de l’ Atlas Histórico do Brasil en Atlas Histórico Escolar, nous observons la récupération et le dépassement de contenus antérieurs, celui notamment des atlas géographiques brésiliens, et nous discernons les disputes et les tensions qui ont animé sa production. Notre étude, en éclairant la production des atlas historiques dans leur ensemble, nous permet de repenser le rôle de l’histoire de la cartographie en rapport à sa théorie, et suggère qu’il est possible d’envisager une analyse non-régulière et non-linéaire des atlas et des cartes.

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)0.003
metaresearch head score (Gemma)0.005
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 score0.238
Threshold uncertainty score0.473

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.013
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.010
GPT teacher head0.268
Teacher spread0.258 · 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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