Territorialities and Urbanities Transform: A Scenario-Based Approach to Local Planning and Decision Making in Inukjuak and Salluit, Nunavik
Bibliographic record
Abstract
This article focuses on the sustainable transformation of Nunavik’s Northern Villages with regard to the notions of dwelling, urbanity and territoriality. Our participatory design research approach addressed the limits of current planning frameworks, exogenous development models, and a complex governance system by integrating the relationship to the territory and the impacts of climate change in the exploration of scenarios for alternative futures adapted to local urban realities. The research illustrates these limits and complexities with hypothetical transformation scenarios in Inukjuak and Salluit. By identifying plausible futures, we formulated sustainable planning strategies combining interrelated factors in the development of project-based interventions to incorporate traditional practices in an urbanizing context. The case of Inukjuak illustrates the importance of natural environments, urban consolidation practices, diversity of use, and socialization, while that of Salluit demonstrates the reciprocity between geomorphological, constructive, socio-cultural, and logistical design variables. Evolving Northern development challenges require that the relevance of these scenarios be examined based on alternative hypotheses and long-term horizons, in the imagination of shared strategies for sustainable planning. Design research, the use of decision-making tools and participatory frameworks are questioned in relation to their contribution to the self-determination of local communities in the “resituation” of their living environments.
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".