Understanding the social bases of satisfaction with public participation in forest management decision-making in British Columbia
Bibliographic record
Abstract
This study draws upon the results of a survey of the general public in three communities in British Columbia to examinethe social bases of satisfaction with public participation in forest management decision-making at both the local andprovincial levels. The main findings are that those members of the general public who are relatively more biocentricallyoriented (as indicated by the NEP Scale) are less satisfied, and those who have acquaintanceship ties to people employedin the forestry sector are more satisfied. Women and those with more education were less satisfied (at the provincial level),and Vancouver residents were more satisfied (compared to Kelowna and Armstrong residents). Overall, satisfaction withpublic participation in forest management decision-making was relatively low. It was, however, slightly higher at the locallevel than at the provincial scale. Policy and research implications of this study are discussed.Key words: social networks, public participation, gender, New Ecological Paradigm, satisfaction with forest management,and sustainable forest management
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 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".