Local understandings and global challenges: exploring sense of place in sustainability transitions
Bibliographic record
Abstract
The sustainability transitions literature acknowledges the importance of place for building a more sustainable world. Although some researchers have studied place analytically and made contributions toward developing sustainable communities across the globe, and others have directly discussed the structural aspects of places, the sustainable transitions literature has not fully reconciled place specifics with their implications for sustainability. This research explores how members from the small community of Campobello Island, New Brunswick, Canada, link their sense of place to their understanding of sustainability and considers the implications of this for sustainability transitions. Through an interdisciplinary, mixed methods approach, this work develops three propositions regarding sustainability as it relates to sense(s) of place. First, we found that within the Campobello community, sustainability was linked directly to individuals’ senses of place, place identities, and place attachments. Second, we found that there were slight variations in islanders’ concepts of sustainability related to these place-related constructs. Third, we found that although this community’s sustainability conversations were dominated by place-specific rather than global sustainability discourse, this was not always the case. As a result, the importance of more deeply exploring the normative nature of sustainability transitions is intensified. Understanding how place specifics connect with views of sustainability in a small island community allows us to deeply explore the role of place in sustainability transitions.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.025 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.017 |
| Research integrity | 0.001 | 0.003 |
| 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".