Book Review of Jolly, Joanna. (2019). Red River Girl: The Life and Death of Tina Fontaine. New York: Penguin Random House Canada.
Bibliographic record
Abstract
The Life and Death of Tina Fontaine", is a true crime book that tells the heartbreaking story of missing and murdered fifteen-year-old Tina Fontaine in Winnipeg Manitoba.Tina Fontaine was described as a loving and caring young woman who went through an extremely tough time after the loss of her father.Jolly's book walks the reader through the life choices and experiences Tina Fontaine had in the few months leading up to her murder.The book focuses on finding justice for Tina and her loved ones.Jolly tells Tina's story through the themes of crime, betrayal, support and love and the seeking of justice.Jolly describes many examples of the love and support Tina received while growing up as well as after her death.Tina Fontaine's death sparked outrage in the city of Winnipeg, which brought together many people to show their love and support.Tina grew up on the Sagkeeng First Nations Reserve.Tina was raised by her father and then great aunt Thelma Favel, who loved her as her own daughter.Thelma and her husband Joe loved and supported Tina from a young age giving her a stable home and switching schools to better her education.Tina was loved by many family members and friends such as Larry Dumas, who had shown his care for her when he brought her back to the Reserve after running away to Winnipeg to visit her mother.Joseph Nanacowap was another friend from the city, who allowed her to sleep at his place from time to time.Tina's
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.105 | 0.063 |
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".