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Record W7009639524

Engineering Science And Management Defense Training Program (University of Maine) Records, 1940-1945

2018· article· en· W7009639524 on OpenAlexaff

Bibliographic record

VenueDigitalCommons (California Polytechnic State University) · 2018
Typearticle
Languageen
FieldComputer Science
TopicHistory of Computing Technologies
Canadian institutionsLibrary and Archives Canada
FundersUniversity of Maine
KeywordsPublicityTraining (meteorology)Order (exchange)Engineering educationContinuing educationScientific management
DOInot available

Abstract

fetched live from OpenAlex

During the 1940s, the University of Maine was one of many U.S. colleges and universities to offer tuition-free summer courses under the Engineering, Sciences, and Management Defense Training Program, funded by the U.S. Office of Education. The classes were for high school graduates not planning to attend college and were intended to train students in defense activities in order to fill urgently needed technical and scientific civilian positions just prior to and during U.S. involvement in World War II. These records include general information regarding the Program, U.S Office of Education reports, forms, publicity material, details of course offerings, professor's notes on courses/lectures, enrollment reports, manuals, maps, final proposals for courses submitted to the U.S Office of Education, photographs, and correspondence with course instructors regarding courses.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.998
Threshold uncertainty score0.319

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0950.030

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 head0.018
GPT teacher head0.202
Teacher spread0.184 · 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.

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
Published2018
Admission routes1
Has abstractyes

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