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Record W7124162125 · doi:10.22452/jat.vol20no2.10

The Issues of Palestine and Algeria on the Delay of NATO’s Formation, 1948–1949: A Study on British International Negotiations

2025· article· W7124162125 on OpenAlexaboutno aff
Norasmahani Hussain, Mohd Farid Mohd Sharif

Bibliographic record

VenueJournal of Al-Tamaddun · 2025
Typearticle
Language
FieldSocial Sciences
TopicMilitary History and Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationGeopoliticsNorth Atlantic TreatyDiplomacyCeremonyInternational relationsTreatyPalestine

Abstract

fetched live from OpenAlex

Abstract The North Atlantic Treaty Organisation (NATO) is a military pact founded on 4 April 1949 in Washington D.C. Initially, it was comprised of 12 members committed to containing Soviet encroachment during the Cold War. Since its formation, NATO has expanded to include 32 members. The original members included seven founding countries, namely, Britain, France, the Netherlands, Belgium, Luxembourg, the United States (U.S.), and Canada, and five invited countries, which were Italy, Norway, Portugal, Iceland, and Denmark. The drafting of this Atlantic military pact involved over a year of negotiations, from March 1948 to March 1949. Previous studies indicate that the process was lengthy primarily due to the issue of Italian membership, which caused delays and rescheduling of the signing ceremony from 1 February 1949 to the first week of April 1949. In addition to the Italian membership issue, this study argues that Palestine and Algeria, though peripheral to the NATO negotiations, contributed to the delay in NATO’s formation. By analysing British Foreign Office Papers (FO 371) and the Foreign Relations of the United States (FRUS), this study reveals the disagreement between Britain and the U.S. over these ‘stray-stone’ countries during the NATO negotiation period. This study is significant because it highlights how seemingly unrelated geopolitical situations can substantially impact major international developments. It demonstrates how the resulting delay was resolved, offering a valuable case study of the unpredictable nature of international negotiations from the perspective of Britain.

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)0.003
metaresearch head score (Gemma)0.007
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: Empirical
Teacher disagreement score0.217
Threshold uncertainty score0.431

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0120.005
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.018
GPT teacher head0.312
Teacher spread0.294 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueJournal of Al-TamaddunSame topicMilitary History and StrategyFrench-language works237,207