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Record W6894199222 · doi:10.5683/sp2/dihll0

Replication data for: 2007 intertidal biodiversity survey of Wizard Islet conducted by the Coastal Biodiversity and Conservation Class

2019· dataset· en· W6894199222 on OpenAlexaff

Bibliographic record

VenueBorealis · 2019
Typedataset
Languageen
Field
Topic
Canadian institutionsAcadia University
Fundersnot available
KeywordsIntertidal zoneTransectQuadratInvertebrateBiodiversityRocky shoreShore

Abstract

fetched live from OpenAlex

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, and the exposed site was resampled in 2002 and 2003. In 2007, both sites were sampled again, and data is presented here for algal cover (%), sessile invertebrates cover (%) and invertebrates density. 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). Vertical transects were randomly selected; 17 on the sheltered site (tag numbers 5, 13, 20, 21, 26, 28, 31, 32, 33, 35, 36, 38, 42, 44, 45, 46, 48) and 15 on the exposed site (tag numbers 1, 3, 6, 10, 12, 13, 17, 23, 25, 27, 29, 33, 41, 42, 46). Sampling was done at tidal heights of 0.5, 1, 1.5, 2, 2.5, 3 and 3.5m. Quadrats of 25x25cm were used to estimate algal cover, sessile invertebrate cover, and invertebrate density. Quadrats of 50x50cm were used to sample invertebrates in the class Polyplacophora and phylum Echinodermata. Data was collected by students in the Coastal Biodiversity and Conservation course taught by Dr. Tom Herman and Dr. Barb Beasley with Teaching Assistant Ben Starkhouse July 23-Aug 31, 2007.

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.216
Threshold uncertainty score0.724

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2160.125

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.

Opus teacher head0.123
GPT teacher head0.311
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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