Environmental Bargains: Power Struggles and Decision Making over British Columbia's and Tasmania's Old-Growth Forests
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
Over the past few decades, conflicts over resources have increased in scale and intensity. They are frequently dominated by environmental nongovernmental organizations (ENGOs) that fight, boycott, lobby, and negotiate with other interest groups to privilege nonindustrial, particularly environmental, values of resources. This article proposes an environmental bargaining framework to analyze the many and varied forms of interactions and processes through which ENGOs seek to change existing practices and decision structures. Drawing on political economy and political ecology approaches, environmental bargaining recognizes the importance of multiple perspectives, strategies of actors, and the regional context. Conceptually, the article interprets environmental conflicts along two dimensions: the distribution of power between actors and forms of interaction ranging from confrontational to collaborative. Examples from British Columbia, Canada, and Tasmania, Australia, reveal the value of comparative perspectives and the importance of the regional context that determines behavior and relationships between actors. While confrontational action has brought considerable change to Tasmania's forests, the example from British Columbia suggests that collaborative forms of decision making that are based on a balance of power have more potential to protect environmental values and bring peace to the woods.
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 | 0.000 | 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) | 0.001 | 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