Natural resource information needs of Aboriginal communities in the Southern Interior of British Columbia
Bibliographic record
Abstract
This paper describes the First Nations Community Needs Analysis Process that FORREX–Forest Research Extension Partnership (formerly SIFERP, the Southern Interior Forest Extension and Research Partnership) undertook in 1999/2000 to identify and analyze the land and natural resource management information needs of the First Nations' communities in the Southern Interior of British Columbia. It also responds to the outcomes of the information needs assessment by presenting a “Framework for Action,” part of which includes establishing the Partnership's Aboriginal Forestry Extension Program.Based on the results of the information needs assessment, First Nations' communities in the Southern Interior of British Columbia clearly have a need and a desire to participate in forestry extension services. The information needs assessment also revealed and expanded on several issues that must be considered in the provision of extension services to First Nations' communities.With incentive from its Aboriginal partners, FORREX has taken a leadership role in providing extension services and has undertaken the responsibility of working with its Aboriginal partners to identify the information and research needs in their communities. The needs analysis process has also provided direction for including traditional ecological knowledge in natural resources management and policy development.
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 | 0.001 | 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 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".