TAKUJUQ -Contribution of Arts for communicating Science
Bibliographic record
Abstract
The TAKUJUQ project is the result of a thought carried out within the Nunavik OHMi in the NUNA and MOVE research projects. These research projects in an indigenous environment have identified a break at the stage of scientific dissemination, of transmission of results to the communities that host the research. To this end, we identify scientific mediation and art as vectors of scientific transmission on the one hand, and metalanguage likely to transcend cultures, the spoken languages of Inuktitut (inhabitants), English and French (researchers) on the other. We hypothesize a conceptual construction of innovative exchanges between different actors: indigenous populations, indigenous artists, geographer researchers, mediator researchers and artist researchers. Our scientific ambition is to bring out, through mediation and artistic productions that offer another language, new knowledge concerning the relationship with the Arctic environment. We propose here the first alternative forms of cartography and modelling intended to transcribe scientific results to the general public, whether indigenous or not, from work carried out in 2020 and 2021.
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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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.040 | 0.005 |
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".