Integrating Social Justice and Political Engagement into Engineering
Bibliographic record
Abstract
Many engineering activists have emphasized the need to reframe engineering as a sociotechnical field in order to expand engineers' contributions to social justice and peace. Yet, reframing engineering as sociotechnical does not always lead to critical engagement with social justice. We provide several examples of how “social” aspects have been brought into engineering in a depoliticized manner that limits engagement with political and social justice goals. We link these examples to Cech’s three pillars of the “culture of disengagement” in engineering: social/technical dualisms, meritocracy, and depoliticization. We argue that reframing engineering as sociotechnical addresses the first pillar, the social/technical dualism, but does not necessarily include the second and third pillars. We propose that all three pillars can be addressed through integrating explicit attention to political engagement and social justice in efforts to reframe engineering as a sociotechnical field. Doing so can increase engineers’ capacity to contribute to social justice and peace.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".