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Record W2563622227

IMW의 지도학사적 의의와 유산

2015· article· ko· W2563622227 on OpenAlexaboutno aff
Sang Il Lee, 조대헌

Bibliographic record

Venue한국지도학회지 · 2015
Typearticle
Languageko
FieldSocial Sciences
TopicHistorical Geography and Cartography
Canadian institutionsnot available
Fundersnot available
KeywordsMap projectionCartographyGeographyWorld mapGeology
DOInot available

Abstract

fetched live from OpenAlex

International Map of the World (IMW) is the human beings’ first global mapping project which aimed at compiling a general-purpose map series composed of almost a thousand of topographic map sheets covering the whole landmass in accordance with a common scale (1:1 million), a common map projection(Lambert conformal conic projection), and a common mapping specification, but ended in failure in 1989. IMW is indeed a gigantic event in the history of cartography which can be seen from the fact that it was recognized as one of the best maps in the 20th century and one of the greatest maps in the whole history of cartography, and the year 1891 when Albrecht Penck officially proposed the project was conceived of as the beginning of the modern cartography. The cartographical significance of the IMW project is threefold. First, IMW became the exemplar for many of the ensuing global mapping projects as the Digital Chart of the World and Global Mapping. Second, IMW provided a standard mapping specification for topographic maps (especially with respect to map projections and hypsometric tints). Third, IMW offered a foundational framework for topographic map indexing. The IMW indexing system which was originally designed to denote the IMW grids each of which is 4° of latitude and 6° of longitude has become the predominant convention for topographic map indexing in many countries. This, the most prominent IMW legacy, is exemplified by the topographic map indexing systems practiced in such countries as South Korea, Japan, Australian, United States, Russia, and Canada.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.868
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.037
GPT teacher head0.286
Teacher spread0.249 · 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; both teacher heads agree on what is shown here.

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
Published2015
Admission routes1
Has abstractyes

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