Replication data for: Long-term monitoring in Barkley Sound: a temporal analysis of intertidal biodiversity on Wizard Islet, British Columbia from 1997 to 2017
Bibliographic record
Abstract
In 1997 the Bamfield Marine Sciences Centre established a long-term monitoring project to collect baseline data on the distribution and abundance of macroorganisms at two intertidal sites on Wizard Islet in Barkley Sound. Both sites were resampled in 2001, 2007 and 2009, and the exposed site was resampled in 2002 and 2003. In 2017, the exposed site was sampled again. Data is presented here for macroalgae and colonial fauna cover (%), and invertebrate presence/absence for species richness. Wizard Islet (48°51’29.5”N, 125°09’31”W) is located within the Deer Group Islands in Barkley Sound and has an area of 1.73 hectares at low tide. The sheltered site (with less wave exposure) is located on a 50m stretch of fixed rocky shore on the northeast side and is characterized by Fucus and Phyllospadix (seagrass). The exposed site is located on a 50m stretch of fixed rocky shore on the southwest side and is characterized by Egregia (feather-boa kelp), goose-necked barnacles and Alaria (brown alga). Fifteen vertical transects were randomly selected at the exposed site. Tag numbers were 3, 4, 9, 12, 15, 18, 19, 20, 21, 24, 30, 40, 44, 45, 50. Sampling was done at tidal heights of 0.2, 0.5, 1, 1.5, 2, 2.5, 3, 3.5m. Quadrats of 25x25cm were used to estimate percent cover of macroalgae and colonial fauna, and invertebrate presence/absence for species richness. Data was collected by students in the Coastal Biodiversity and Conservation course taught by Dr. Barb Beasley and Dr. Caroline Fox with Teaching Assistant Sarah Friesen July 24 - September 1, 2017.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.008 |
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".