EXAMINING THE ECOLOGICAL SYSTEMS OF LGBTQ STEM MAJORS
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study, drawn from a subset of qualitative data from the National Study of LGBTQ Student Success, explores the ecological systems [Bronfenbrenner, U., ed., Making Human Beings Human: Bioecological Perspectives on Human Development, Thousand Oaks, CA: Sage, 2005] of lesbian, gay, bisexual, transgender, and queer-identified (LGBTQ) students in science, technology, engineering, and mathematics (STEM) majors. Through open and axial coding of students' interview transcripts, we identified three primary themes: (1) LGBTQ students experience multiple STEM microsystems influenced by faculty, peers, and colleagues; (2) social science and humanities academic microsystems are perceived as safe places for LGBTQ students to be out; and (3) students' LGBTQ identities are central to their higher education experiences and influence peer microsystems in the context of exo- and macrosystem forces. Students' narratives demonstrate how LGBTQ STEM students experience their collegiate ecological systems and illuminate implications for practice and research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 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 | 0.001 |
| 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 it