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Record W4406727042 · doi:10.7202/1115686ar

At War, but Far From The Front

2023· article· en· W4406727042 on OpenAlexvenueaboutno aff
Lisa M. Daly

Bibliographic record

VenueNewfoundland and Labrador Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary History and Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsFront (military)Home frontFar rightHistoryGeologyArchaeologyPolitical scienceSpanish Civil WarOceanographyLaw

Abstract

fetched live from OpenAlex

The Newfoundland Airport, in what became Gander, Newfoundland and Labrador, was an area of both conflict and logistics during the Second World War. The airbase served roles as both a stopping point for aircraft to be ferried from production facilities in North America to the war theatre overseas, for convoy escorts and U-boat hunting, as well as mundane deliveries of people and equipment from Canada and the United States. During the war, the airbase was very active, with thousands of aircraft using the runways, and there were aircraft lost, whichremain on the landscape around Gander. For those serving at the Newfoundland Airport, the war may have been ever-present, but at the same time distant; there was no active battle at the airbase, but there were casualties of war. Those who died were filling combat and logistical roles, and post-war rebuilding efforts. Accidents occurred due to mechanical malfunctions, the weather, and human error. Using historical records and archaeological site inventories, this paper will examine the role of this non-combatant space and advocate that the material cultureof aircraft crash sites be conceptualized within the larger context of aviation infrastructure. The result will expand our understanding of the impact and tragedy of war for the airbase at Gander, and for Newfoundland and Labrador.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.051
GPT teacher head0.310
Teacher spread0.259 · 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
Published2023
Admission routes2
Has abstractyes

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