Bibliographic record
Abstract
This article examines picturebook apps as sites of value negotiation and design in support of community and culture, illustrated through the ongoing design and development of an O-Pipon-Na-Piwin Cree community-centred picturebook app, Pīsim Finds Her Miskanow (Pīsim Miskam Omiskanow). We introduce the C&T community to early research on electronic picturebooks, and illustrate how picturebook theory is expanded with the remediation of print texts into multimodal narrative experiences. We turn to the case of Pīsim to further enrich and diversify these conceptions, weaving elements of culture into earlier models of picturebook apps. We draw on design theory, specifically the concept of values as hypotheses, to offer storied insights on how the design process of the Pīsim picture book app is enriched through its commitment to the originating community. We conclude with implications for the community-grounded design of interactive cultural belongings, not limited to picturebooks, including museum exhibits, educational installations, and digitized cultural heritage pieces.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".