Interactive Inspirations: The Case for Incorporating Joy and Play in Open Social Scholarship
Bibliographic record
Abstract
Inspired by the way that hands-on science centres playfully introduce children and adults alike to the curiosities and complexities of our biological, chemical, and physical world, the *Virtual Realizations, Playable Archives* project, emerging from the INKE SSHRC partnership’s *Community* cluster, is exploring strategies to interactively engage broader publics with the wonders and challenges of humanities knowledge, research, and research communication. This paper’s focus on *Chowdr*, one prototype example from the *Virtual Realizations* project, is intended to initiate larger critical conversations about play, community, and open social scholarship values by using a food-based social networking app. This prototype is designed to create meaningful engagement among users by having them share their personal recipes for seafood chowder, and in doing so, playfully connect with their community and their food culture.
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 | 0.015 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.019 | 0.086 |
| Scholarly communication | 0.025 | 0.021 |
| Open science | 0.004 | 0.048 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".