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Record W4285794399 · doi:10.1080/00087041.2021.1982458

Soviet Tourist Maps: A Short Overview

2022· article· en· W4285794399 on OpenAlexaboutno aff
Ian Byrne

Bibliographic record

VenueThe Cartographic Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Geography and Cartography
Canadian institutionsnot available
Fundersnot available
KeywordsTourismQuarter (Canadian coin)GeographyCartographySoviet unionAgency (philosophy)Regional scienceState (computer science)EconomyPolitical scienceArchaeologySociologyComputer scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

In recent years, many maps produced in the former Soviet Union have become available. However, researchers have focused on topographical maps or those of Western cities produced by the General Staff for military use, and less on maps created by GUGK, the state mapping agency, for domestic purposes, including tourism. By contrast, this paper focuses on maps produced for tourists, whether travelling by private car or on an organized rail or bus tour. The 42 maps reviewed take three main forms: those covering a single administrative region, ranging from an oblast to a Soviet republic; those of a specific tourist area or associated with a literary hero; and strip maps connecting major cities. The paper considers the general design and symbology used on these maps, tracing some of the stylistic changes and developments in the quarter-century prior to the collapse of the Soviet Union.

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)0.001
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.018
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0180.028
Science and technology studies0.0020.001
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.003

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 head0.033
GPT teacher head0.293
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
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
Published2022
Admission routes1
Has abstractyes

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