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Record W7124235633

Entre imagem e veículo simbólico: revisitação aos álbuns fotográficos da ferrovia portuguesa de finais de Oitocentos e inícios de Novecentos

2024· article· pt· W7124235633 on OpenAlexfundno aff
Hugo Silveira Pereira

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2024
Typearticle
Languagept
FieldArts and Humanities
TopicPhotographic and Visual Arts
Canadian institutionsnot available
FundersUniversity of TorontoYale University
KeywordsPortuguesePhotographyAppropriationHistoriographyField (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

From the second half of the 19th century, two technologies were implemented in Portugal: photography and railways. In this article, I analyze the interactions between them in eight photographic albums portraying the construction, operation, and various aspects of Portuguese railways built between 1872 and 1914: Minho, Douro, Beira Alta (two albums), Tua, Salamanca to the Portuguese border, North (construction of the Maria Pia bridge) and Vouga. Drawing from the bibliography on railway photography, I revisit some of its conclusions and add reflections on photography as an instrument of territorial appropriation and creation of landscapes, as well as on its material dimension, as a vehicle that transports ideology, representations, and places. I contribute to the debate on the use of photography as a primary source (and not just as an illustrative accessory) and to a call for greater use of this source in historiographical analysis, especially in the field of transport history.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0070.016
Scholarly communication0.0110.005
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.020
GPT teacher head0.275
Teacher spread0.255 · 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 designQualitative
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
Published2024
Admission routes1
Has abstractyes

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