Perceptions of barriers to certification of government forestry in Newfoundland
Bibliographic record
Abstract
The Newfoundland Forest Service (NFS) directly manages a substantial portion of the province's forests. The two forest-products companies that manage the remainder have registered their forest management systems to the ISO 14001 Environmental Management System Standard. With an eye to getting all managed forest land in the province registered to ISO 14001, the NFS engaged us to undertake a study of the challenges and opportunities it would face in doing so. To meet the study objective, interviews were conducted with 30 people, most of whom work for the NFS. Upper-management commitment was identified as the most significant potential barrier, in part due to its influence on other possible barriers such as funding and commitment of staff time. Political interference, not previously identified in the literature, also poses a potential barrier. We conclude that no potential barriers pose insurmountable hurdles, and that the NFS should proceed expeditiously with ISO-14001 registration of the forests it manages. Key words: certification, ISO 14001, forest management, Newfoundland, perceptions, barriers
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".