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Record W4323358153 · doi:10.1002/fee.2612

Pathway to mainstream youth engagement and intergenerational partnership in nature conservation

2023· review· en· W4323358153 on OpenAlexaff
Melanie Zurba, Shalini Dhyani, Grace Mwaura, Deepu Sivadas, Isa Olalekan Elegbede, Douglas F. Williamson

Bibliographic record

VenueFrontiers in Ecology and the Environment · 2023
Typereview
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsDalhousie University
Fundersnot available
KeywordsGeneral partnershipMainstreamPolitical sciencePublic relationsScale (ratio)IUCN Red ListSociologyEconomic growthGeographyEcologyBiologyEconomics

Abstract

fetched live from OpenAlex

Here, we discuss the findings from and high‐level recommendations of an IUCN‐commissioned review on youth engagement and intergenerational partnership. Our study demonstrates that youth involvement in global conservation efforts at the international scale has grown dramatically over the past several years, with efforts to foster involvement at different levels and locales. The numerous and complex interconnections resulting from this increased involvement have yet to be standardized or subject to best practices. However, efforts by different actors to promote youth engagement and intergenerational partnership have now created new institutional spaces for such actors to assume leadership roles.

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)0.006
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: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.036
GPT teacher head0.284
Teacher spread0.247 · 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
GenreReview

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

Citations8
Published2023
Admission routes1
Has abstractyes

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