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Record W7038711752

International biodiversity finance: Reframing payments for ecosystem services within a co-investment for sustainable development approach

2023· article· en· W7038711752 on OpenAlexaboutno aff

Bibliographic record

VenueAgritrop (Cirad) · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsBiodiversityCognitive reframingSustainable developmentEcosystem servicesSustainabilityFraming (construction)Payment
DOInot available

Abstract

fetched live from OpenAlex

Financing nature-positive development pathways in Southern countries is a central issue in the implementation of the Global Biodiversity Framework adopted in Montreal at COP15, and links to two streams: the need expressed by Southern countries to receive support for biodiversity protection through public finance from Northern countries; and the issue of aligning all financial flows with biodiversity objectives. Both issues emphasize “innovative finance mechanisms”, and in particular framing some of these flows, public or private, as “payments for ecosystem services”. This Issue Brief repositions “payments for environmental services” schemes within a broader approach of co-investment for sustainable development. After examining the gap in investments for development in low income and lower middle-income countries, and the role and place of biodiversity in their development pathways, the paper discusses the nature of services provided by biodiversity and how they can be linked to payments, before looking at other financial sources that could contribute to a co-investment approach.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.718
Threshold uncertainty score0.664

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.215
Teacher spread0.199 · 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 teacher head, 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
Published2023
Admission routes1
Has abstractyes

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