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Record W7034401769

âThey were just Shadows and Whispers in the Nightâ

2012· article· en· W7034401769 on OpenAlexaboutno aff

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEntomological Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionPretextHyporeflexiaArticular cartilage damageTSG101Liquation
DOInot available

Abstract

fetched live from OpenAlex

In September 1944 the 23rd Canadian Field Company, Royal Canadian Engineers, was attached to 43rd (Wessex) Division of British 30 Corps. It was to support that division’s proposed assault across the Rhine to relieve 1st British Airborne Division in the Arnhem bridgehead.\nOn the morning of 25 September, Major M.L. Tucker, the officer commanding the 23rd Field Company, was called to an Orders Group. The decision to evacuate the remaining airborne troops had been made and Major Tucker was told the Canadians should use their stormboats for the operation. They were given no additional resources for carrying, off-loading or assisting the men evacuated, presumably because no one believed that large numbers of men could be rescued. Major Tucker and Lieutenant R.S. Kennedy went forward to recce the area and subsequently Lieutenant Kennedy and Lieutenant Tate located two sites northeast of Driel where stormboats could be launched.\nFourteen stormboats and 17 Evinrude outboard motors were available and 10 Field Park Company provided 12 fitters and equipment repairers who proved invaluable.\nMajor Tucker was told that Oosterbeek Church, directly across the river from the launching site, was the centre of the airborne bridgehead. The first stormboat was to be on the north side of the river by 2140 that night.\nMajor Tucker’s account of that incredible night was written on 30 September 1944.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.125
Threshold uncertainty score0.350

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0200.004
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.1050.035

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 head0.028
GPT teacher head0.210
Teacher spread0.182 · 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
Published2012
Admission routes1
Has abstractyes

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