Bibliographic record
Abstract
My journey to better understand and to live my own WSÁNEĆ legal tradition has always been both complex and incredibly rewarding. This journey has, at times, also come with its challenges and tensions, including through law school and academia. Through the use of story I reflect upon this path of learning, and many of my own thoughts and experiences along the way. I have learned, and continue to learn, from many different people along this path, and I am so grateful to each of them. While this story is primarily a self-reflection, the themes and tensions that the character of this story (Cedar) embodies may resonant with many Indigenous people. These themes include family, community, place, identity, stories, law and culture. Each of these themes comes together and to life in this story through lived experience and my own empowering moments of living and coming to better understand WSÁNEĆ law. Ultimately, writing this story helped me in a moment when I needed it. My hope is that you too can find something helpful and rewarding within this story, and that you can use that along your own path.\n\n \n\nLe périple que j’ai fait pour mieux comprendre et vivre ma propre tradition juridique dans la communauté WSÁNEĆ a toujours été à la fois complexe et incroyablement enrichissant. Bien entendu, cette expérience a également donné lieu à des défis et des tensions, notamment à l’école de droit et dans le milieu universitaire. À l’aide d’un récit, je décris mon cheminement et bon nombre de mes propres réflexions et expériences connexes. Tout au long de mon parcours, j’ai appris et je continue d’apprendre auprès de nombreuses personnes différentes et je leur en suis infiniment reconnaissant. Bien que ce récit soit d’abord et avant tout une autoréflexion, il se pourrait que de nombreux Autochtones retrouvent une part d’eux-mêmes dans les thèmes abordés et les tensions vécues par le personnage central (Cedar). Qu’il s’agisse de la famille, de la communauté, du lieu, de l’identité, du droit ou de la culture, j’aborde chacun de ces thèmes en décrivant des expériences réelles et le cheminement qui m’a permis de mieux comprendre la loi WSÁNEĆ. En définitive, l’écriture de ce récit s’est révélée une expérience positive pour moi à un moment où j’avais besoin d’aide. J’espère que vous trouverez à votre tour des éléments utiles et éclairants dans ce récit et que vous pourrez vous en inspirer au cours de votre propre cheminement.
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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 | 0.005 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.020 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.039 | 0.011 |
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".