Collaborative management, differential discourse, and youth engagement; a case study of Auyuittuq National Park, Nunavut
Bibliographic record
Abstract
The collaborative management arrangements in place for Nunavut’s National Parks demonstrated a shifting trend in Canadian resource management, where Indigenous people are increasingly involved in the governance of traditional lands. This work considered the arrangement in place for Auyuittuq National Park, Nunavut, by exploring the effect that differential discourse had on policy formation and implementation. To focus the research on a single management issue youth engagement was selected for consideration. Employing a qualitative case study strategy of inquiry, data was collected by conducting 50 interviews and 7 focus groups in the park adjacent community of Pangnirtung. The project findings indicated that the Parks Canada Agency’s discourse maintained a dominant position within the management process, such that many of the youth engagement strategies implemented did not account for Inuit cultural practices. As a consequence of this omission, many of the implemented methods were unintuitive to the community, and in some cases served as a barrier to youth participation.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.028 | 0.012 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".