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Record W2969570633

An Economic Analysis Of The Fall Of France In June 1940 Based On The Theory Of New Institutional Economics

2019· article· en· W2969570633 on OpenAlexvenueno aff
Ioannis Dionysios Salavrakos

Bibliographic record

VenueJournal of military and strategic studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPolish Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGermanEconomic strategyPolitical scienceEconomyOrder (exchange)Fall of manPolitical economyEconomicsGeographyPoliticsLaw
DOInot available

Abstract

fetched live from OpenAlex

The paper challenges the view that the fall of France in June 1940 is attributed to military errors of the French High Command and with the brilliant German offense in the Ardennes. The paper highlights that the French security strategy after the end of World War I failed because the country lacked the economic basis to implement its strategy. Thus the paper argues that the French endorsed an internal and external balancing strategy against Germany. The internal balancing strategy was associated with the ability of France to sustain powerful armed forces and obviously this was associated with high defense spending and a strong economy. The second part was associated with external balancing which was associated with the creation of alliances in Eastern Europe in order to block any German expansion. Again this was associated with strong economic relations between France and these states. This strategy was implemented during the 1919-1929 period however after the global economic crisis erupted the deterioration of the French economy made the continuation of this strategy impossible. Thus France was forced to follow a defensive strategy at the military level and the privileged bilateral economic relations with Eastern European countries were abolished and Germany replaced France as the major economic and trading partner of these states.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score0.349

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 head0.043
GPT teacher head0.278
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2019
Admission routes1
Has abstractyes

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