Aboriginal expectations and perceived effectiveness of forest management practices and forest certification in Ontario
Bibliographic record
Abstract
The paper aims to develop a better understanding of Aboriginal peoples’ expectations of the forest environment, and their perceptions of forest planning and management operations on Crown forestlands. The paper also examines the variation in Aboriginal expectations and perceptions across different Aboriginal communities, communities with certified and non-certified forests, three primary user groups (Traditional users, Commercial users, and Leadership), and Aboriginal people with and without knowledge of certification. The understanding is developed on the basis of data from five First Nations, two having FSC-certified forests and three having non-certified forests, all from Ontario. Data were collected using Conceptual Cognitive Content Mapping (3CM) techniques, and were analyzed using various non-parametric statistical tests, including the Freidman test, Sign test, and Kruskal–Wallis test. We conclude that Aboriginal people place the highest importance on a group of expectations related to Aboriginal and Treaty Rights and the second highest on Environmental Values and SFM-related expectations. Expectations related to Participatory Decision-Making and Economic Opportunities and Development are ranked at the same importance level, but of lower importance than Aboriginal and Treaty Rights and Environmental Values and SFM. Aboriginal people generally perceive that forest management is meeting their expectations related to Environmental Values and SFM better than it is meeting their expectations related to Aboriginal and Treaty Rights, Participatory Decision-Making, and Economic Opportunities and Development. Forest certification is perceived to be as important as First Nation negotiations with the Ontario government, Negotiation with industry, Improved business/profitability outlook for the forest industry, Court cases and legal decisions, and Aboriginal claims filed with the federal government. Key words: Aboriginal and treaty rights, Aboriginal expectations, Conceptual Cognitive Content Mapping (3CM), forces of change, forest certification
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".