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Record W1950201585 · doi:10.24908/pceea.v0i0.5771

A RETROSPECTIVE: DESIGNING A CAREER DEVELOPMENT PREPARATION COURSE IN A MANDATORY COOP ENGINEERING TECHNOLOGY PROGRAM

2015· article· en· W1950201585 on OpenAlexaffvenue
Allan MacKenzie

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education and Employability
Canadian institutionsMcMaster University
FundersDivision of Electrical, Communications and Cyber Systems
KeywordsEmployabilityBachelorMedical educationExperiential learningMultidisciplinary approachCareer developmentEngineering managementWork (physics)Engineering educationTeamworkPsychologyEngineeringPedagogyMedicineManagementSociologyPolitical science

Abstract

fetched live from OpenAlex

In the 2012-2013 academic year McMaster’s University School of Engineering Technology (SET) introduced a Professional Workplace Practices course (GENTECH 2PW3) within the Bachelor of Technology (B.Tech) Program. The course uses an experiential learning approach to instill key employability skills required to successfully participate and progress in today’s dynamic engineering and technology organizations. It is a second year academic prerequisite before a student can commence the B.Tech Program mandatory 12 month coop work experience. The course is delivered and supported by a multidisciplinary team that includes faculty members, career development practitioner, who serve as instructional assistants, and the McMaster Engineering Career and Coop Services (ECCS) department. For the purposes of knowledge sharing, this paper will discuss the GENTECH 2PW3 course structure, delivery, administration, and outcome results for 470 students from the last three cohort years.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.198
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.017
GPT teacher head0.287
Teacher spread0.270 · 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

Citations2
Published2015
Admission routes2
Has abstractyes

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