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Record W6931639253 · doi:10.5683/sp3/m0ra9z

Understanding ecosystem service impacts of tidal wetlands after managed dyke realignment through causal loop diagrams

2023· dataset· en· W6931639253 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBorealis · 2023
Typedataset
Languageen
FieldDecision Sciences
TopicMultidisciplinary Science and Engineering Research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCausal loop diagramWetlandContext (archaeology)Ecosystem servicesEcosystemProcess (computing)StormBay

Abstract

fetched live from OpenAlex

This report explores ecological dynamics involved in the provision of three ecosystem services (blue carbon, storm protection, and fisheries) associated with existing and restored tidal wetlands in the context of managed dyke realignment. These dynamics are represented in causal loop diagrams depicting negative and positive relationships between ecological variables, all explained further in the glossary at the end. Reinforcing and balancing feedback relations are highlighted through each diagram description. Diagrams are based on a review of relevant literature conducted within the Bay of Fundy dykeland landscape and can be used to inform the decision-making process in the region. Managed dyke realignment is highlighted as a coastal adaptation strategy that provides opportunities to protect and restore tidal wetlands and their associated ecosystem services.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.199
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.218
GPT teacher head0.396
Teacher spread0.179 · 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