MétaCan
Menu
← Back to cohort
Record W2953254159 · doi:10.1201/9780429025303-7

Seaweed Harvesting: A controversial new industry on the east coast of Vancouver Island, British Columbia

2019· book-chapter· en· W2953254159 on OpenAlexaboutno aff
Ian K. Birtwell

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal plant biology
Canadian institutionsnot available
Fundersnot available
KeywordsEast coastGeographyFisheryArchaeologyBiologyPhysical geography

Abstract

fetched live from OpenAlex

A “pilot” seaweed harvest was authorized by the government of British Columbia in 2007. It was focused on beaches close to the small semi-rural communities of Deep Bay and Bowser at the south-eastern entrance to Baynes Sound. The adjacent area of Baynes Sound continues to be subjected to a continually expanding shellfish industry that supplies approximately 50 percent of British Columbia’s total shellfish aquaculture production. A democratically-derived Official Community Plan, within the administrative boundaries of the Regional District of Nanaimo on Vancouver Island, includes guidelines for the management of shoreline areas. The foregoing comments documented the economic and ecological value of seaweeds and the potential impacts of harvesting. It is suggested that the appropriateness of a new industry on the east coast of Vancouver Island that would remove seaweeds from locations that currently support diverse natural and cultured organisms, often with links to sustainable and economically-important fisheries, is questionable and not supported scientifically.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.144
Threshold uncertainty score0.289

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.002

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 head0.016
GPT teacher head0.169
Teacher spread0.153 · 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 designObservational
Domainnot available
GenreEmpirical

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

Explore more

Same topicMarine and coastal plant biology→French-language works237,207→