The First Flute: Whowhoahyahzo Tohkohya by D. Bouchard
Bibliographic record
Abstract
Bouchard, David. The First Flute: Whowhoahyahzo Tohkohya. Markham: Red Deer Press, 2015. Print.With poetic words, Métis author, David Bouchard, encourages his readers to find a quiet place to share the telling of his hardcover book The First Flute. Specifically, in order to honour the teachings of storyteller Standing Elk, Bouchard invites readers to “hear and dream it without interruptions” and this invitation immediately invokes a feeling of ceremony and spirituality; it attends deeply to protocol.David Bouchard, Jan Michael Looking Wolf, and Don Oelze collaborate in the retelling of a traditional story about a young man who had many skills appreciated by his village – hunting, fishing and tracking – but whose real passion, dancing, was not recognized until Grandfather Cedar gifted him with a flute. This, the first flute, helped the young man prove his worth to his village and to the woman he loved.The many different art forms that find voice in this book, such as storytelling, visual art, and music awaken spiritual, emotional, physical, and mental faculties and make space for thinking in new ways. The words, melodies, and gift of visual images that it shares serve to lighten the heart and invite the reader to hear and dream the story of Konhe Waci, Dancing Raven, but also to hear and dream their own stories of who they are in their own families and communities.The First Flute is a resource essential to any K-8 arts education classes to open conversations about identity, and how identity is shaped in relationship with other people and places.Highly recommended: 4 out of 4 starsReviewer: Lynne Driedger-Enns & Trudy CardinalDr. Lynne Driedger-Enns is the 2015 Horowitz Scholar with the Centre for Research for Teacher Education and Development at the University of Alberta. Dr. Trudy Cardinal is a Cree/Métis scholar from the University of Alberta whose research interests center on the experiences of Indigenous children and families on and off school landscapes. They share an interest in stories and storytelling.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.083 | 0.051 |
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".