Critically Conscious Engineers: Reforming Humanitarian Engineering for Gender Equality in Education
Bibliographic record
Abstract
This paper presents a conceptual understanding of critical consciousness theory and its application in engineering. More specifically, it provides a deeper inquiry into the integration of critical consciousness in engineering pedagogy and practice such as humanitarian engineering. A brief analysis of the critical consciousness construct – critical reflection and critical action as applied in engineering education provides a scope into how developing a sociopolitical lens could shape the design and development of technologies for achieving gender equality in education in vulnerable communities, particularly developing nations afflicted by crises – natural disasters, armed conflict, and other violence. Examples draw from studies in education, culturally responsive school leadership, and engineering education. The purpose of this exploration is to present an overview of how cultivating critical consciousness in engineers and engineering educators, professionals, and leaders can be an entry point into achieving the United Nations Sustainable Development Goals to empower girls and protect their rights to access education.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.040 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".