Recognizing “reciprocal relations” to restore community access to land and water
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Place-based communities are struggling to maintain their connections to land and water, including the social and cultural practices that are rooted in a particular landscape. In this paper, we consider possibilities for recentering environmental governance around reciprocal relations, or the mutual caretaking between people and place. We draw from existing scholarship on relational values and human-nature relations, which emphasize the intrinsic value and agency of non-human beings and the landscape itself. By linking key concepts in the literature to our four case studies, we develop a framework of reciprocal relations as a foundation for local practices and governance policies that facilitate increased community access to land and resources. Our cases investigate the practice of reciprocal relations across different community contexts in Hawaiʻi, British Columbia (Canada), the Appalachian Mountain Region (U.S.), and Madagascar. Through our analysis, we examine a diverse range of community approaches to reciprocal relations, and demonstrate how practicing reciprocal relations can have material effects on community well-being and environmental sustainability. This finding builds on the theory of access (Ribot and Peluso 2003), by suggesting that practicing reciprocal relations can provide a powerful mechanism for shifting community access to resources. In the reciprocal relations context, however, the flow of benefits is not uni-directional. Expanding on existing access concepts, we show how the ability of a place-based community to benefit from resources is contingent upon its ability to maintain multi-directional and mutually beneficial relations with the natural environment—in part through fulfilling caretaking responsibilities for land and water.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 it