Bibliographic record
Abstract
The Artificial Reef Society of British Columbia (ARSBC) is a Canadian non-profit society dedicated to the enhancement of the British Columbia marine environment and to the advancement of sport diving through public education and the creation and preservation of artificial reefs. ARSBC was founded in 1986 and is a membership-driven organization. ARSBC has successfully completed five artificial reef projects: G.B. Church (Aug. 10, 1991; Portland Island, Sidney); HMCS Chaudiere (Dec. 5 1992; Kunechin Pt., Sechelt); HMCS Mackenzie (Sept. 16, 1995; Rum Island, Sidney); HMCS Columbia (June 22, 1996; Maud Island, Campbell River); HMCS Saskatchewan (June 14, 1997; Snake Island, Nanaimo). Video highlights of the Saskatchewan sinking were made. A limited assessment of the attached biological community has been completed. Within months, the outer hull becomes extensively encrusted with estimates of several hundred individuals per m/sup 2/. By 2.5 years, close to 100 species including invertebrates, fish and algae have colonized the reefs. The dominant group among the invertebrates is crustacean with 17 species. the authors have demonstrated that sinking decommissioned military warships can stimulate economic activity in local coastal community in excess of $1 million dollars (CDN) annually if properly promoted. The eco-tourism draw adds to the local mix of economic activities so that local coastal communities are not solely dependent on one company or one natural resource. In addition, due to the success of their projects, ARSBC has been asked to assist other nations in creating ecologically-responsible artificial reefs in the Caribbean, Indian Ocean and offshore of California.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.048 | 0.004 |
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".