Making the Familiar Strange: One Student's Critical Experience of Engineering Culture Through Space and Place
Bibliographic record
Abstract
Physical spaces and places significantly influence educational culture, impacting student attitudes, behaviours, and performance. Within engineering education, where themes of masculinity, competition, and eurocentrism dominate the engineering culture, these environments can perpetuate harmful ideologies and stereotypes that oppress minoritized groups. Using a questionnaire grounded in previous qualitative research and cultural and spatial theory, this study explores the dynamic processes that shape one student’s experiences of the spaces and places in the Price Faculty of Engineering. The cultural themes identified manifest in the educational environment as tokenism, emptiness, left-over culture, disparity in care, and inconsistency in space. This research seeks to raise awareness and encourage mindful reflection among students, faculty, staff, and administrators on how physical places and spaces reflect and contribute to potentially harmful cultural norms within engineering educational institutions.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.023 | 0.030 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".