MétaCan
Menu
Back to cohort
Record W3192577012 · doi:10.18260/1-2--36988

Diversity, Equity, and Inclusion in Civil and Environmental Engineering Education: Social Justice in a Changing Climate

2024· article· en· W3192577012 on OpenAlex
Daniel Erian Armanios, Sarah Christian, Andrea Francioni Rooney, Millard McElwee, J. Moore, Destenie Nock, Constantine Samaras, Gerald Wang

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.

fundA Canadian funder is recorded on the work.
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

Venue2021 ASEE Virtual Annual Conference Content Access Proceedings · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCareer Development and Diversity
Canadian institutionsnot available
FundersNational Institute of Standards and TechnologyQueen's UniversityRice UniversityNational Physical Science ConsortiumCarnegie Mellon UniversityU.S. Department of EnergyNational Science Foundation
KeywordsSocial justiceEquity (law)Social equalityDiversity (politics)Inclusion (mineral)Environmental justiceCultural diversityPolitical scienceCivil rightsEngineering ethicsComputer scienceSociologyEngineeringSocial scienceLaw

Abstract

fetched live from OpenAlex

Her research is focused on applying optimization and decision analysis tools to evaluate the sustainability, equity, and reliability of power systems in the US and Sub-Saharan Africa. One of her current NSF-

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.002
Open science0.0000.045
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 head0.053
GPT teacher head0.304
Teacher spread0.251 · 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