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Record W2618377460 · doi:10.18260/1-2--16256

Gender Representation In Architectural Engineering – Is It All In The Name?

2020· article· en· W2618377460 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicLearning Styles and Cognitive Differences
Canadian institutionsnot available
FundersU.S. Military Academy
KeywordsRepresentation (politics)Engineering educationArchitectureQuarter (Canadian coin)EngineeringEngineering design processMathematics educationEngineering managementPsychologyMechanical engineeringVisual artsHistory

Abstract

fetched live from OpenAlex

Under-representation of women in engineering is of concern as the decreasing supply of qualified engineers continues to plague the nation's advancement. Understanding what factors influence choices of engineering disciplines has the potential for altering education to accommodate a more diverse student body that can be successful in engineering. University statistics reflect that the Architectural Engineering program at this school is comprised of 35% women, while the other engineering programs attract at best 20% women and at worst 5% women. The Architectural Engineering program at this university is in fact one of the most intense structural engineering programs in the country requiring 203 quarter units to complete and upper division courses in integrated design of buildings using concrete, steel, wood and masonry along with seismic design of buildings. The department is however housed in the College of Architecture and Environmental Design rather than the College of Engineering. This overall research study explores the learning styles of different engineering disciplines and the learning styles preferred by students who select these disciplines as academic majors and careers.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score0.999

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)0.0020.000

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 head0.126
GPT teacher head0.370
Teacher spread0.244 · 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