Understanding a theory of public participation in park planning for Nunavut, Canada
Bibliographic record
Abstract
This thesis is an investigation of the Nunavut Parks participatory planning process, examining the participation of local communities in the planning process used by the Government of Nunavut. Local participation in the planning process is essential for successful socio-economic and political development of the new land-claim settled territory. After a review of literature on theoretical planning processes, interviews and internal Nunavut Parks documents were collected and analyzed using grounded theory methods to reveal the genuine processes of community participation. The results were merged comparatively, creating a theory of how practitioners can help the Nunavummiut public to be more self-reliant in park planning. The five features of this theory find that public participation process should have a holistic framework, a diverse and active public, a grassroots process, transformational experiences, and developmental goals. This research advocates that practitioners incorporate these features into practice to help communities become more self-reliant and politically active.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".