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Record W4379413515 · doi:10.1353/see.2020.0020

The Red Atlas: How the Soviet Union Secretly Mapped the World by John Davies and Alexander J. Kent James Risen (review)

2020· article· en· W4379413515 on OpenAlexaboutno aff
Denis J. B. Shaw

Bibliographic record

VenueThe Slavonic and East European Review · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeological Research and Protection
Canadian institutionsnot available
Fundersnot available
KeywordsSoviet unionAllianceWorld War IIPeriod (music)Spanish Civil WarEconomic historyArt historyClassicsHistoryCartographyLawPolitical scienceArtPoliticsGeography

Abstract

fetched live from OpenAlex

SEER, 98, 1, JANUARY 2020 186 the relations between the wartime leaders of the Grand Alliance. The work complements the publication of the three-volume journal of the Soviet ambassador in London, Ivan M. Maiskii. It is an important contribution to understanding the Soviet point of view during World War Two, undistorted in the present period of so-called ‘new cold war’. Département d’histoire Michael Jabara Carley Université de Montréal Davies, John and Kent, Alexander J. The Red Atlas: How the Soviet Union Secretly Mapped the World. Foreword by James Risen. The University of Chicago Press, Chicago, IL and London, 2017. xiii + 234 pp. Maps. Illustrations. Notes. Bibliography. Appendices. Indexes. $35.00. In the old Soviet Union maps were secret. The present writer well remembers how, in the 1970s, his desire to look at detailed eighteenth-century cadastral maps of a part of central European Russia for purely academic purposes was frustrated by the caution of archivists. Whether the authorities believed that such maps, somehow secretly copied, might be used by Western intelligence agencies for some nefarious purpose was unclear. It later transpired that even Soviet scholars often had difficulty accessing such materials. With respect to the general public the modern maps of towns and cities available for purchase were usually deliberately distorted. If access to maps of the USSR was restricted, Soviet maps of foreign countries or regions were generally unavailable with the exception of those at smaller scales. Western maps were, of course, available in the West and these were used by the Soviets to compile their own maps of Western countries and of other parts of the world. Between 1950 and the end of the Soviet period the Military-Topographic Directorate of the Soviet General Staff (that part of the Soviet military responsible for mapping) conducted a secret mapping project covering the whole world at a variety of scales and in several series. According to the authors of this volume, this constituted ‘the most comprehensive global topographic mapping project ever undertaken’ (p. 11). Estimates vary, but according to one, in excess of a million maps were produced. The authors group them into, firstly, topographic maps or topos (military and civil series), secondly city plans (military and civil series) and, thirdly, special maps of various kinds. Whilst most such maps were regarded as state secrets during the Soviet era, the breakup of the USSR in 1991 radically changed the situation. Many maps were deposited in newly-independent states such as the three Baltic states and REVIEWS 187 became available to view and copy. Others entered the market illegally or by other means. Many are now in private collections. The present volume, written by two self-confessed ‘map enthusiasts’ (one a retired Information Systems specialist, the other an academic specialist in cartography) gives a brief account of the history of Russian and Soviet mapping followed by a detailed discussion of the style, content and symbology of the Soviet maps, the cartographical methods employed and the story of how the maps entered into the public domain. The target readership is ‘the general reader’. It has to be said, however, that the authors occasionally allow their evident enthusiasm to overwhelm them. For example, their discussion of the technicalities of the map making methods used, beginning on page 19, seems likely to exhaust the understanding and the patience of many a reader. The real highlight of the book is the maps themselves. Liberally scattered through the text, and with an appendix of nearly sixty examples in Appendix 1, the full-colour map extracts give a vivid impression of the detailed analysis which went into the compilation of the maps and of their sheer aesthetic quality. Soviet maps have long been known for their ability to present enormous detail even at smaller scales. What is amazing is the range of data covered including, in some cities, building heights, road widths and bridge capacities, and, for selected water bodies, channel depths and navigability. Clearly the Soviets used not only Western maps and satellite imagery but many other sources, in all probability including feet on the ground. The fact that some militarily sensitive objects were not depicted on Western maps, but appear...

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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.741
Threshold uncertainty score0.900

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.233
Teacher spread0.198 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2020
Admission routes1
Has abstractyes

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