Human Dimensions of Biodiversity Conservation in the Interior Forests of British Columbia
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
Generally, studies on biodiversity conservation have focused on topics within the natural sciences, such as species and ecosystem concerns. However, an understanding of the human dimensions of biodiversity conservation is lacking. To address this gap, a study was undertaken in the Robson Valley in east-central British Columbia in 2001 to document stakeholders - understanding and perceptions of biodiversity issues, examine potential trade-offs associated with conservation, and provide decision makers with insight concerning the acceptability of potential forest management scenarios. A mail survey was used to collect data from residents of British Columbia and two groups of recreationists. Results show that stakeholders are diverse in their perceptions and knowledge related to biodiversity conservation. A choice experiment was used to examine trade-offs inherent in conserving biodiversity at the landscape level. The choice model showed that respondents preferred options that emphasized biodiversity conservation, and that Robson Valley residents had different preferences than the respondents in the other subsamples. Several potential forest management scenarios were simulated using the choice model results. The potential for future research, and ideas for improving the model, are discussed.
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 | 0.000 |
| 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) | 0.000 | 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