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Record W4240229896 · doi:10.7202/021178ar

Exclaves

2005· article· en· W4240229896 on OpenAlexvenueno aff
Honoré M. Catudal

Bibliographic record

VenueCahiers de géographie du Québec · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Studies and Geopolitics
Canadian institutionsnot available
Fundersnot available
KeywordsTerritorialitySituatedFragmentation (computing)PoliticsState (computer science)GeographyPolitical sciencePolitical economyLawSociologyEcology

Abstract

fetched live from OpenAlex

The problems raised by territorial fragmentation are perhaps nowhere more acute in instances where a portion of one state, completely surrounded by another, is found to exist. For the exclave or enclave — depending upon one's point of view — disturbs the internal functioning of the surrounding country by, as it were, puncturing a hole in its territory and creates difficulties as well for the administering state. Although the existence of exclaves and enclaves is little known, they are not uncommon phenomena. In fact, there are almost twice the number of exclaves (enclaves) in the world as states. For the most part, these extraordinary territories are rather small, and they do not have large populations. They consist to a great extent of single villages and adjacent lands, farm areas and tiny garden plots. All are situated relatively near to the « mother-land ». It is recognized that the very diminutiveness of these disconnected areas and their lack of strategic significance limits their military and political value. Nevertheless, they do point up the problems of territorial fragmentation and the importance of territorial continuity. Moreover, the way in which states treat them has important implications for those scholars who debate whether or not the « territoriality » of the nation-state is bound to vanish.

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.255
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0080.004
Scholarly communication0.0060.005
Open science0.0020.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2550.048

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 head0.008
GPT teacher head0.244
Teacher spread0.235 · 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
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

Citations7
Published2005
Admission routes1
Has abstractyes

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Same venueCahiers de géographie du QuébecSame topicAfrican Studies and GeopoliticsFrench-language works237,207