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
While official rhetoric of multiculturalism claims to value cultural diversity, everyday multiculturalism focuses on how people of diverse cultural backgrounds live together in their everyday lives. Research on everyday multiculturalism has documented ways through which people negotiate senses, sensibilities, emotionality, and relationality across intercultural contact zones. While recognizing the importance of human intentionality and community in conditioning coexistence, this article also points to the constitutive power of practice-based learning that emerges through the coming together of human and nonhuman beings. Drawing on a qualitative study of the learning experiences of six Chinese immigrants in community gardens on a university campus in Canada, this article shows three ways of learning that foster knowing, connecting, and hybrid knowledge production across cultures: (a) learning through communities of conviviality; (b) learning mediated through nonhuman things such as land, waste, and free-floating seeds; and (c) learning through assemblages that fold in culture, place, and 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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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