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Record W2113846337 · doi:10.7202/020727ar

La Moselle canalisée et la voie maritime du Saint-Laurent : notes comparatives

2005· article· en· W2113846337 on OpenAlexaffvenue
Jean Cermakian

Bibliographic record

VenueCahiers de géographie du Québec · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Politics and Economy
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsPremiseOrder (exchange)Investment (military)PoliticsCapital (architecture)Competition (biology)Value (mathematics)Unit (ring theory)Natural resourceEconomyBusinessGeographyPolitical scienceEconomicsLawFinanceArchaeology

Abstract

fetched live from OpenAlex

This paper is based upon the premise that in order to justify the considerable capital investment required in such projects, the construction of a deep-draught waterway must serve the long-term economic and political interests of the regions and nations concerned. The question then arises as to what role should such a waterway play so that those interests might be furthered. In trying to answer this question, the author suggests three hypotheses, namely that, 1. The new waterway must provide cheap transport for heavy goods of low per-unit value which can only be carried in bulk, 2. It must create or intensify exchange between two or more economic regions on the same continent, and further the international trade of those regions, and 3. It must encourage the development of under-undustrialized regions and the utilization of hitherto inaccessible natural resources. By comparing the infrastructure and the traffic of two such waterways,, one in Western Europe, the canalized Moselle river, the other one in North America, the St. Lawrence Seaway, the author attempts to verify these hypotheses empirically and finds that all three are valid in both situations. It was found that in both cases the chief result of the new waterways has been the increased competitiveness of the regions which they serve vis-à-vis more powerful neighbors in the competition for world markets.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.881
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
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.208
Teacher spread0.197 · 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.

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
Published2005
Admission routes2
Has abstractyes

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