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Record W4393444984 · doi:10.15353/acmla.n173.5691

Navigating Conflict

2024· article· en· W4393444984 on OpenAlexaffvenue
Justiina Taika Salo Devries

Bibliographic record

VenueBulletin - Association of Canadian Map Libraries and Archives (ACMLA) · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Wars: History, Literature, and Impact
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Situated strategically in the Atlantic Ocean, the Azores Islands emerged as pivotal theaters during World War I and World War II and profoundly shaped these global conflicts through its geographic significance and technological advancements. In this paper, the evolution of navigation techniques, routes, and the strategic importance of the Azores according to the changing nature of warfare was analyzed. Through an examination of historical narratives and technological progress, insights were made into how the islands developed into critical hubs for naval and air operations. Advancements in airport infrastructure, telecommunications, and harbor facilities transformed the Azores into essential nodes for transatlantic shipping, communication networks, and surveillance in the Atlantic theater. Navigational strategies, informed by technological innovations, optimized air routes and access to strategic bases which bolstered military capabilities in both conflicts. Through the exploration of the relationship between technological progress, evolving warfare dynamics, and geopolitical significance, the enduring impact of the Azores Islands on shaping global conflicts throughout history was revealed.

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: Other · Consensus signal: Other
Teacher disagreement score0.019
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0110.012
Scholarly communication0.0080.006
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.010
GPT teacher head0.240
Teacher spread0.230 · 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
GenreOther

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
Published2024
Admission routes2
Has abstractyes

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Same venueBulletin - Association of Canadian Map Libraries and Archives (ACMLA)Same topicWorld Wars: History, Literature, and ImpactFrench-language works237,207