Assessing STEM Outreach for historically marginalized groups in engineering: STEM/engineering identity and role models
Bibliographic record
Abstract
Evaluating outreach efforts can include measuring changes in factors such as Engineering or STEM Identity. STEM/Engineering Identity involves an internal feeling of belonging and recognition from others (e.g., family, teachers). Strong STEM/Engineering Identity is associated with entering STEM careers. This pilot study examines one large outreach program to determine: are there changes in STEM or Engineering Identity after a weeklong day-camp? Are there differences associated with gender, age, race, or intersectional identities, and/or having role models or parents in engineering? Elementary campers (grades 4-7), high school campers and volunteer Junior Instructors (both grades 8-12) were surveyed pre- and post-camp. We measured STEM Identity for elementary campers and Engineering Identity for teenagers through validated survey measures. Teenagers were also asked about role models, having parents in engineering, and career goals. While there were small increases in STEM/Engineering Identity, participants generally started with high STEM/Engineering Identity and frequently had role models in engineering.
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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 | 0.001 | 0.000 |
| 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 | 0.001 | 0.001 |
| 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".