Sound of the Drum, Energy of the Dance - Making the Lake Huron Treaty Atlas the Anishinaabe Way
Bibliographic record
Abstract
Chi-Miigwetch first and foremost to the Ancestors, who are many and who come from many places; to the Rock People, who have helped and guided me to come to know who I am; who inspired me, supported me, guided me, and danced with me -who have urged me to tell this story.My first thoughts on writing this Acknowledgements section were to include the names of all of the Lake Huron Treaty Atlas contributors together with a brief summary of their contributions -that was, until I realized that would practically comprise an entire thesis length and tire readers out before they reached the Table of Contents!Instead, I extend my most heartfelt gratitude to all those mentioned in this thesis, which also describes your contributions to various extents; in addition to the many people I have not had the opportunity to mention.To these people, and to those mentioned in the thesis, I can say that I intend to write another piece once this thesis is completed that provides further details and stories concerning the involvement and contributions of everyone I can possibly remember.This piece will present a broad view of "community" and illuminate the reality of the (Algonquin) Anishinaabemowin phrase "Dawnoweh-ma-geneduc (All My Relatives)".In addition, excerpts from this future writing and associated media will be uploaded to the various maps in the Lake Huron Treaty Atlas.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".