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Career and Mentor Satisfaction among Canadian Engineers: Are there Differences based on Gender and Company‐Specific Undergraduate Work Experiences?

2009· article· en· W2004794329 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Engineering Education · 2009
Typearticle
Languageen
FieldPsychology
TopicMentoring and Academic Development
Canadian institutionsNatural Sciences and Engineering Research Council of CanadaUniversity of Manitoba
Fundersnot available
KeywordsWork (physics)PerceptionSocializationPsychologyCareer developmentWork experienceJob satisfactionMedical educationValue (mathematics)Social psychologyEngineeringMedicine

Abstract

fetched live from OpenAlex

Abstract In 2005, an in‐depth study was undertaken to collect quantitative and qualitative data on the career attitudes of Canadian engineers in the province of Manitoba. This paper examines the quantitative data on the relationships between prior undergraduate work experiences with their current employers and male and female respondents' career and mentor satisfaction. The results suggest that undergraduate work experience programs may play a role in enhancing engineers' perceptions of their recognized authority/expertise within their field. Results also show that prior work experience with current employers is related to satisfaction with mentors. Furthermore, a significant interaction effect was found for both prior work experience and gender as they relate to mentor satisfaction. Female engineers with prior work experience were the most satisfied with their mentors, while those without prior work experience were the least satisfied. Findings point to the value of company‐specific undergraduate work experience as a socialization tool and the role it plays in nurturing long‐term career development, particularly for young women engineers.

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)0.000
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 score0.189
Threshold uncertainty score0.406

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 communication0.0000.000
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 head0.028
GPT teacher head0.261
Teacher spread0.233 · 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