Unpacking “signs of learning” in complex sociopolitical environments
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 special issue offers empirically rich accounts of research that make the ingenuities and brilliance of BIPOC learners visible “replacing entrenched assumptions about where we see ingenuity and how we recognize it.” The articles in this issue embrace the strengths and creativity of BIPOC learners by deliberately shifting away from deficit-based thinking. These accounts of learning focus on new ways of seeing, uplifting, and leveraging learners’ cultural, historical, and identity backgrounds. The articles essentially document learning of “border crossers” who as fugitives have “to learn to negotiate the power, violence, cruelty of the dominant culture”. They also imply accounts that go beyond the recounting of their “lived histories, restricted languages, and narrow cultural experiences” by critically unpacking and engaging with the imagery and discourses of dominant culture.
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