First Nations Community of Inquiry & Praxis (FNCIP)
Bibliographic record
Abstract
The First Nations Community of Inquiry & Praxis (FNCIP) is a group of Indigenous intellectuals working together to support each other and the First Nations With Schools Collective (FNWSC). FNCIP was founded by the FNWSC and an Indigenous faculty member partner employed at Western University’s Faculty of Education. FNCIP aims to conduct inquiries and praxis that originate out of interest and relevance to its members, and to the FNWSC’s mandate in supporting lifelong learning that is Indigenous-centered and grounded in Indigenous philosophies of knowing, being and doing. Through regularly scheduled inquiry-based discussions, FNCIP members principally participate in the co-production of knowledge and a communityminded approach that serves as an educational advisory group on topics of significance to the FNWSC. Additionally, FNCIP members seek to mobilize transformative educational praxis among FNCIP members and in their individual community contexts, generally. The FNWSC recognizes the on-going participation of FNCIP members and FNWSC delegates as a vital contribution toward sustaining and building educational excellence among FNWSC members First Nations citizenry. FNCIP webinars presentations 12-14 conducted PAGE 28 between March 5, 2021, and August 4, 2021, will be discussed for this presentation.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.045 | 0.007 |
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".