Bibliographic record
Abstract
This article argues that, in collaboration with Indigenous [and non-Western local] communities, social designers should approach “culture” not only as a form of heritage that should be preserved and transmitted, but also as a project that weaves together heritage, current material circumstances, and desirable ideas for the future. We therefore examine the notion that every culture is intrinsically oriented towards the future, representing a trajectory that links the past to a projected ideal of well-being. Thus, cultural diversity leads to numerous trajectories and distinct futures, contrary to the colonial ideology according to which only one trajectory is possible: that which adheres to the project of eurocentric modernity. Based on a participatory research action project called Tapiskwan, which focused on the aspirations of the Atikamekw Nehirowisiwok, we propose that the ultimate goal of social designers should be to nurture local communities’ capacity to (re)create their own autonomous trajectories, in pursuit of the good life as their culture defines it.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.014 | 0.065 |
| Scholarly communication | 0.024 | 0.028 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".