Moving Picture Books into the future: Active Learning and Picture Book Apps
Bibliographic record
Abstract
This presentation emerges from a collaborative research project that is developing a series of picture book apps to support the grassroots cultural resurgence of the Rocky Cree people of northern Manitoba, Canada. Drawing on Anishinaabe digital game scholar Elizabeth LaPensée’s claim that Indigenous games can serve as acts of survivance, “merging survival with endurance in a way that recognizes Indigenous peoples as thriving rather than merely surviving” (2017), the team seeks to decolonize technological tools and tropes and to explore the ways in which the gamification of education can support the goals of decolonization and reconciliation. The presentation recounts the challenges of developing game elements that honour the specificity of Rocky Cree worldviews and utilize what La Pensée calls culturally appropriate mechanics, including “slowing down, listening, making choices, revisiting paths, and interpreting the journey,” focusing specifically on two games: Packing the Canoes and Gathering a Bundle.
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 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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".