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
Recent efforts to diversify participation in STEM (Science, Technology, Engineering & Math) activities through informal learning environments, such as hackathons and makerspaces, confirm a real desire for inclusion among potential female participants. However, understanding factors that may contribute to longer-term, sustainable diversification of such groups remains a challenge. In this paper, we present the results of a mixed-methods study of two microcosms of making: game development, and quilting. Our findings reveal parallel structures within these groups despite being highly skewed towards male or female participation, respectively. Our results shed light on attitudes, behaviours, and experiences indicating that similar desires for wider community support among other factors exist in both groups, but these needs are not satisfied in the STEM context. We conclude by discussing the implications of our findings as opportunities for rethinking how we design the environments that are meant to support design itself, considering the role of technology in these spaces, and prioritizing nurturing the development of the maker community beyond the maker space.
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 | 0.000 | 0.000 |
| 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 it