Values-led management: the guidance of place-based values in environmental relationships of the past, present, and future.
Bibliographic record
Abstract
The prevalence of widespread, human-caused ecological degradation suggests that fundamental change is needed in how societies interact with the environment. In this paper we argue that durable models of environmental relationships already exist in approaches of place-based peoples, whose values connect people to their environments, provide guidance on appropriate behaviors, and structure sustained people-place relationships. To illustrate, we identify and discuss concordant values of indigenous peoples at opposite ends of the Pacific Ocean: the Māori of Aotearoa (New Zealand), and First Nations of the West Coast of Canada. We find that values of relatedness to, respect of, and reciprocity with other species and places correspond with sustained long-term relationships between people and places, and illustrate with examples from both regions. We propose that by integrating a values-led foundation into management broadly, values-led management could enable similar sustained relationships in places where they have been recently disrupted or where they are altogether lacking.
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 | 0.013 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.041 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".