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Record W6925324723 · doi:10.17169/refubium-44467

Biodiversity in German development cooperation after the Kunming-Montreal Global Biodiversity Framework

2024· article· en· W6925324723 on OpenAlexaboutno aff

Bibliographic record

VenueRefubium (Universitätsbibliothek der Freien Universität Berlin) · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsGermanBiodiversityIndigenousBiodiversity conservationPoliticsCitizen journalismParticipatory developmentTraditional knowledge

Abstract

fetched live from OpenAlex

The biodiversity crisis of rapid species extinction is met with conservation measures on a global scale. The current thesis examines the case of German development cooperation as the biggest financier of biodiversity conservation in the Global South, focusing on the in-volvement of Indigenous Peoples and local communities (IP&LC) in the planning and imple-mentation of biodiversity projects in Bolivia, Colombia, Ecuador, and Peru. Based on inter-views with practitioners in German development cooperation and the protocol of a Bundes-tag hearing it is worked out how German conservation approaches often (still) follow a logic of ecological modernisation. On the other hand, the involvement of IP&LC is gaining sali-ence. By applying a post-colonial political ecology perspective, it is shown that on the imple-mentation level German development actors are aware of the importance of integrating the rights, worldviews and contributions of IP&LC into conservation. However, when it comes to policymaking, IP&LC are often still excluded due to structural obstacles. This bears the risk that IP&LC are merely included for the implementation of Western-designed conservation projects. Conversely, there is a chance that the growing awareness for IP&LC will translate into more participatory conservation that places human well-being at the centre.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.890
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.005
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.022
GPT teacher head0.258
Teacher spread0.235 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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