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Record W2129429871 · doi:10.24908/pceea.v0i0.3797

CANADIAN MANUFACTURERS AND EXPORTERS DISCOVERY PROGRAM

2011· article· en· W2129429871 on OpenAlexaffvenueabout
Christopher Laing

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2011
Typearticle
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsIngenuityResource (disambiguation)MarketingBusinessManufacturing sectorHuman resourcesEngineeringPublic relationsEngineering managementManagementPolitical scienceComputer scienceEconomics

Abstract

fetched live from OpenAlex

In the news and ever present on the minds of people in the technology and manufacturing sector is Canada’s need to replace nearly four hundred thousand skilled employees who will be progressively retiring over the next several years. To compound this problem, there has been a steady decline in student enrollment in the secondary and post secondary institutions in the science and technology areas (one of the main human resource feeds). Part of the reason for this can be directly related to a lack of awareness, not only to the diverse and exciting career opportunities found in contemporary manufacturing, but also just how important this sector of the economy will be to Canada’s future. This paper explores the success of the CME (Canadian Manufacturers and Exporters) pilot discovery program initiated by Design Engineering from the University of Manitoba. The initiative was directly aimed at secondary students from science, math, business, art, and technology programs. The main objective was to inspire these students by allowing them to experience first hand the many exciting facets of modern-day manufacturing. This was achieved by a hands-on approach to designing, building, and testing a project using their ingenuity to problem solve and the latest type of technology to fabricate their design. The success of this program was at the very least to be aware of a career option they may not of otherwise considered, and at the very most an opportunity to take the first steps to an exciting and rewarding career with the many possibilities that manufacturing has to offer.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score0.854

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.007
GPT teacher head0.185
Teacher spread0.178 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2011
Admission routes3
Has abstractyes

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