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Record W7133278031

Science Response : Ecological Risk Assessment Scoring for Tuvaijuittuq MPA

2024· other· en· W7133278031 on OpenAlexaboutno aff
Fisheries and Oceans Canada, Pêches et Océans Canada

Bibliographic record

VenueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsRisk assessmentHarmGovernment (linguistics)Coast guardImpact assessmentEnvironmental impact assessmentThe arcticProcess (computing)
DOInot available

Abstract

fetched live from OpenAlex

Under the Oceans Act, the Minister of Fisheries, Oceans, and the Canadian Coast Guard is responsible for leading and coordinating the development and implementation of Marine Protected Areas (MPAs) on behalf of the Government of Canada. Undertaking an ecological risk assessment to identify risks to the conservation priorities (or conservation objectives) of a MPA is a fundamental step in the MPA establishment process. In August 2019, the Tuvaijuittuq MPA (Figure 1) was established by Ministerial Order, which freezes the footprint of an area for up to five years while the Government of Canada and its partners conduct an assessment of the feasibility and desirability of long-term protection in the area. In anticipation of a decision on long-term protection, DFO is pursuing an ecological risk assessment for Tuvaijuittuq, which will be needed to inform regulatory decisions (i.e., which activities are allowed and which are prohibited) should an Oceans Act MPA be established. The ecological risk assessment is a systematic and transparent process for gathering, evaluating, and recording information on the risks posed to ecologically significant components (ESCs) within an area by human activities that are occurring or may occur, and which could reasonably be mitigated through regulation. The risk assessment for Tuvaijuittuq will be based on an Ecological Risk Assessment Framework (ERAF) developed for the Arctic, which provides a consistent approach for calculating risk of harm to Arctic ecosystems from stressors associated with human activity. The ERAF was developed by DFO Marine Planning and Conservation (MPC) Arctic Region, with input from a regional DFO risk assessment working group with membership from MPC, the Canadian Science Advice Secretariat (CSAS), Science, and Fisheries Management sectors. The risk scores produced through this CSAS process will draw on previous Science advice (DFO 2020), a summary of existing knowledge for the area (Charette et al. 2020), and a draft Pathways of Effects (PoE) report developed for Tuvaijuittuq. DFO MPC Arctic Region requires Science advice to validate ecological risk scores for Tuvaijuittuq conservation priorities developed using the Arctic Region ERAF, to ensure that findings are consistent with existing literature and knowledge of the area. These scores are necessary to produce an ecological risk assessment report and guide the establishment of an Oceans Act MPA by Governor-in-Council, should one be recommended in Tuvaijuittuq. This Science Response Report results from the regional peer review of April 21–22, and May 5, 2022 on the Review of the Ecological Risk Assessment Scoring for the Tuvaijuittuq Marine Protected Area (MPA).

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)0.017
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.724
Threshold uncertainty score0.549

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.033
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0060.001
Scholarly communication0.0060.002
Open science0.0020.004
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0480.009

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 head0.013
GPT teacher head0.281
Teacher spread0.269 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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
Published2024
Admission routes1
Has abstractyes

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Same venueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du CanadaFrench-language works237,207