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Record W2544474539 · doi:10.5539/emr.v5n2p72

Village Based Climate Change Adaptation and Mitigation Activities Development in Indonesia: Challenges and Opportunities

2016· article· en· W2544474539 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEngineering Management Research · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Security and Socioeconomic Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)BusinessAdaptation (eye)Plan (archaeology)Development planEconomic growthFinanceEngineeringGeographyEconomicsCivil engineering

Abstract

fetched live from OpenAlex

Government funds which are distributed to village government in Indonesia by Law No. 6 Year 2014 on Village is a national policy alternative to finance development of climate change adaptation and mitigation activities. According to pilot development in several regions on agro-forestry, bio-energy development, green seaweed industry, and restoration of reservoir; they were designed on development plan in the village and regional level which interconnected to national development plan. Adaption and mitigation activities should strengthening community based green social enterprises and engaging inter-village cooperation development programs for starting up or up-scaling green businesses. It managed as activity of social enterprise, so-called Village Organization Owned Enterprise called Badan Usaha Milik Desa (<em>BUMDes</em>) or Joint Villages Organization Owned Enterprise (<em>BUMDes Bersama</em>), or as the co-operative. The government funds could be blended in such a way with other funds sources (blending finance) for developing adaptation and mitigation of climate change activities.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.966
Threshold uncertainty score0.127

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.132
GPT teacher head0.260
Teacher spread0.128 · 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