Forest carbon offset projects in coastal British Columbia : Aboriginal criteria, awareness and preferences
Bibliographic record
Abstract
Aboriginal groups are still developing recognition of their rights, title and capacity to co-manage their forestland. Provincially there are a number of changes in legislation and regulation that affect Aboriginal groups, particularly in the area of climate change. Aboriginal groups that are actively negotiating their legal rights need to integrate the discussion of climate change, particularly in the area of forests with their evolving legal rights. Aboriginal groups have been proactive in British Columbia but there are many critical gaps that should be explored. My objectives are to identify the key cultural, social, environmental and economic criteria of five selected Aboriginal groups in British Columbia for forest carbon offset projects, to assess their awareness and to identify their key preferences in forest carbon agreements. I travelled to five Aboriginal communities where I conducted twenty individual interviews in total to collect the qualitative data to support my research objectives. Results showed all five selected Aboriginal groups are struggling with balancing economic and environmental values for managing their forests. Cultural, social, and environmental values were closely related to each other and were preferred over economic values. However, there was recognition of the importance of generating revenue and creating employment from forest resources. The five selected Aboriginal groups in this study are at different stages of looking at carbon offsets as a new, potential forestry activity to add to their economic development portfolios. Approximately half of the Aboriginal groups in this study have a low awareness of basic carbon terminology. There was no consensus across the five Aboriginal groups for preferences for carbon project types, acceptable forest stand tending techniques and contractual arrangements, except for a high group-to-group consensus across the five Aboriginal groups on a renewable type of carbon contractual arrangement.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".