HOMES OF HOPE: VISUALIZING SOCIAL RESPONSIBILITY
Bibliographic record
Abstract
A sense of professional social responsibilityis a key quality for engineers of the 21st century.Community Engaged Learning (CEL) is an excellent wayto develop social responsibility (SR) in students. But,there is a need to better understand how different typesCEL experiences impact SR development. Recently, apsychological framework and survey has been createdthat addresses how SR develops in engineers. We putthese SR tools to the test, along with some othermeasures, to see how a short-term international CELexperience impacted the students’ SR development.This study was of an exploratory nature to see how to bestwork with the new psychological framework and othermeasures of SR. All indicators showed that the short terminternational CEL had a positive impact on SRdevelopment and the SR tools proved to be useful ininterpreting and visualizing the impact on students. Ourfuture work aims to conduct many studies like this, to seeif we can understand how different types of CEL relate todevelopment of different areas of SR in students.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".