Abundance of intertidal algae and invertebrates on the Atlantic coast of Nova Scotia
Bibliographic record
Abstract
In 2008 as part of university masters thesis project two studies were completed, one experimental and one mensurative, on the abundance of primary producers and consumers from rocky intertidal habitats in Atlantic Canada. As part of the mensurative study, four wave-sheltered locations were sampled spanning 350 km of Nova Scotia coastline. Data from that study describe the abundance of seaweeds and invertebrates found at three tidal elevation zones (high, middle, and low) for a total of 1170 quadrats. Measurements include the abundance (percent cover) of the different taxa found at each quadrat using a 20 cm × 20 cm frame. For data associated with the manipulative part of the study see Watt and Scrosati 2014. Because of its taxonomic amplitude and coverage of a wide environmental stress gradient, this data set is potentially useful to address in novel or infrequent ways other broad ecological issues, such as abundance–occupancy relationships, species co-occurrence, species abundance distributions, dominance and rarity, spatial scales of population and community variability, and distribution of phylogenetic diversity. This dataset includes both presence and absence occurrence records.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.005 |
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".