Public participation in resource management: The Bulkley Valley Community Resources Board.
Bibliographic record
Abstract
Your We Yotre référersca Our We Notre référertce The author has granted a non exclu sive licen ce allow ing the N ational Library o f Canada to reproduce, loan, distribute or sell cop ies o f tins th esis in microform, paper o r electronic formats.The author retains ownership o f the copyright in th is th esis.N either the th esis nor substantial extracts from it may be printed or otherw ise reproduced w ithout the author's perm ission.L 'auteur a accordé une licen ce non exclu sive permettant à la Bibliothèque nationale du Canada de reproduire, prêter, distribuer ou vendre des cop ies de cette thèse sous la forme de microfrche/frhn, de reproduction sur papier ou sur format électronique.L 'auteur conserve la propriété du droit d 'auteur qui p rotège cette th èse.N i la th èse ni des extraits substantiels de c e lle -c i ne doivent être imprimés ou autrement reproduits sans son autorisation.
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 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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.074 | 0.011 |
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".