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Record W2910855519 · doi:10.24908/pceea.v0i0.13018

Becoming Aware of Engineering Culture: Toward Sculpting a New Way of Acting, Being, and Thinking in the World

2018· article· en· W2910855519 on OpenAlexafffundvenue
Scott A.C. Flemming, Clifton R. Johnston, Sandra MacAulay Thompson

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2018
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaDalhousie University
KeywordsPoliticsProblem solverEngineering ethicsSociologyAestheticsComputer scienceEngineeringPolitical scienceArtLawSoftware engineering

Abstract

fetched live from OpenAlex

In this paper the problem of “engineering culture” is explored through the lens of Cultural Anthropology. A literature review of papers which have examined engineering culture in various university environments was conducted and preliminary conclusions drawn. Anthropologists define culture as how groups and individuals respond to dominant images. Of the various images in the literature, the image of the engineer as “problem solver” is most helpful in diagnosing the issues with engineering culture – a culture that has been found to lack in promoting self awareness, political awareness, understanding perspectives of others, and hearing marginal voices. A proposed new image of the engineer as a “problem solver and problem definer” helps move engineering educators toward the practice of teaching problem definition in core technical courses so that a new culture can be sculpted; one that encourages political and self awareness, understanding others’ perspectives, and the ability to listen to traditionally marginalized voices.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.727

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.007
GPT teacher head0.212
Teacher spread0.205 · 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
Published2018
Admission routes3
Has abstractyes

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