Rethinking Authenticity, Legitimacy, and Agency in the Context of the Six Seasons of the Asiniskaw Īthiniwak Project
Bibliographic record
Abstract
This discussion, stemming from our keynote address at 2022 ACLAR Biennial Conference, brings together researchers and emerging scholars from the Six Seasons of the Asiniskaw Īthiniwak project, a community-driven research project that shares knowledge about Rocky Cree culture in northern Manitoba, Canada, through historical picture books, picture book apps, and teachers’ guides. Using this project as a case study, we reflect on the three themes of the 14th Biennial ACLAR Conference: legitimacy, authenticity, and agency. In particular, we trouble the concept of authenticity and question its usefulness for the kind of cross-cultural research that we are undertaking in the project. We document our processes for working with oral stories and translating these into written texts. We outline the community and scholarly research that grounds the textual, pictorial, and auditory representations of the picture books and apps we produce, and propose that the aspiration to historical, cultural, geographical, and linguistic accuracy at the centre of our project is a more enabling objective than a search for authenticity is. We also discuss how the curriculum materials we develop seek to connect young readers with Rocky Cree culture and use the concepts of agency and entanglement to think through these connections. The final part of this discussion considers a gathering on Rocky Cree culture that academic researchers and Rocky Cree community researchers and knowledge keepers organized collaboratively. Not only was our project initiated by Rocky Cree community members, but, as this gathering demonstrates, it also assumes an ongoing relationship with these communities.
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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 | 0.032 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.040 | 0.090 |
| Scholarly communication | 0.031 | 0.018 |
| Open science | 0.005 | 0.025 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 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".