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Record W1632390006 · doi:10.14429/dsj.2.3363

Defence aids scientific research and industries

2013· article· en· W1632390006 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

VenueDefence Science Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicScience, Technology, and Education in Latin America
Canadian institutionsMinistry of Natural Resources and Forestry
Fundersnot available
KeywordsRaw materialPosition (finance)Process (computing)BusinessEngineeringForensic engineeringOperations managementNatural resource economicsComputer scienceEconomicsChemistryFinance

Abstract

fetched live from OpenAlex

Defence requirements of a country have always been associated with its material resources and the manner in which case are put to practical use. In recent years this connection between defence and practical utilization of resources, or in other words, industrial development, has come to be more intimately appreciated and nations which are not in a position to meet some of their essential needs have harnessed science to make good the deficiencies by evolution of new processes, utilization of new raw materials and development of substitutes. Fixation of nitrogen to produce - ammonia and nitric acid is now a classic example of a process developed with the object of doing away with dependence on. imported Chile salt-petre, supplies of which were liable to be a t off in the event of war.

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)0.014
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.373
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.009
Science and technology studies0.0130.043
Scholarly communication0.0040.003
Open science0.0020.000
Research integrity0.0000.001
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 head0.121
GPT teacher head0.434
Teacher spread0.313 · 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