Bibliographic record
Abstract
This article is a journey to uncover the foundation of the laws that kept children safe at T’exelc – the place where the salmon charge up the river. T’exelc is one village on Secwepemculécw – land of the Secwepemc People. The people who live at T’exelc are known as ST’exelcemc. The ST’exelcemc laws are drawn from the land and unearthed in the stories of the Stet’ex7ém – the Elders reminiscing about how they were raised, the stories they heard and how they lived their lives. The Stet’ex7ém place themselves first on the land to describe the activity they are involved in and with the people who they do their work with. This rich methodology is our legal process to define the laws that still govern our relationships to the land and its resources, with our kinship ties in our community of relations, and those of other surrounding Indigenous nations. As the Stet’ex7ém describe these legal relationships they recognize they only speak about their laws - Stsqey'ulécw re st'exelcemc – St’exelemc Laws From The Land, and each story captures the values and legal principles that form the ctk’wenme7iple7ten – all the laws in every aspect of our lives. Those laws, values and principles are expressed in Secwepemctsín – our language to tell us what is right and what is wrong – the heart of any legal regime. It is important you hear these stories and transmit this knowledge for all of our kw’séltken – all our relatives so others know we like all other Indigenous Peoples had our own government and our own laws since time immemorial. This witnessing is an important journey to reconciliation for the revival of S’texlecemc governance and nation-building. The Stet’ex7ém stories are a healing and living testament to the power of how we utilized our laws to continually maintain our legal order in the face of colonialism.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.145 | 0.016 |
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".