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Record W2472041233 · doi:10.1080/00934690.2016.1184930

Second World War bomb craters and the archaeology of Allied air attacks in the forests of the Normandie-Maine National Park, NW France

2016· article· en· W2472041233 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Field Archaeology · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeological Research and Protection
Canadian institutionsUniversity of Toronto
FundersRégion Normandie
KeywordsWorld War IIGermanArchaeologyCombatantNational parkImpact craterStrategic bombingPopulationGeographyHistory

Abstract

fetched live from OpenAlex

Well-preserved bomb craters in the forests of central Normandy, NW France, constitute archaeological legacies of combat inland from the D-Day beachheads that greatly extend the inventory of Second World War conflict landscapes in northwest Europe. Field survey and analysis of German and Allied documents demonstrates that bombscapes in the Forêt domaniale des Andaines and Forêt domaniale d'Ecouves reflect US Ninth Army Air Force attacks on a German fuel depot and radar installation, respectively, during June-August, 1944. One hundred and thirty-six craters are mapped, described and linked to specific air raids, bomb types and, for one raid on the 13th June, six specific participating aircraft and aircrews. These landscapes echo the impact of widespread tactical bombing against targets close to civilian population centers, and in some cases employing civilian and PoW labor. They are therefore well-placed to contribute to wider heritage narratives around the non-combatant experience of aerial warfare in WWII.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.244
Teacher spread0.231 · 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