Ojibway Nature Center Colouring Book
Bibliographic record
Abstract
This book is one piece of a larger project dedicated to weaving the Ojibway language, art and culture throughout the Ojibway Prairie Complex and the Ojibway Nature Centre. Stories introduce each colouring page and include the Ojibway language (Anishinaabemowin). This is the language that was spoken here by the Original People of this place. The Ojibwe words were chosen from the Ojibwe People's Dictionary and the book Bkejwanong Dbaajmowinan/Stories of Where the Waters Divide by Monty McGahey II. The colouring pages in this book are inspired from the home of the artist Mariah Alexander, Bkejwanong (Walpole Island) and Ojibway Prairie Complex (Windsor, Ontario), where water (pond, stream), tree and tallgrass prairie habitats are alive and home to all of our Relations. Embedded hyperlinks are provided to take you to other resources on the internet including learning how to pronounce many of the Ojibway words.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.224 | 0.059 |
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".