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Record W4285794399 · doi:10.1080/00087041.2021.1982458

Soviet Tourist Maps: A Short Overview

2022· article· en· W4285794399 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

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.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.755
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.003
Science and technology studies0.0070.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
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