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Record W396934424 · doi:10.17528/cifor/004647

Adaptation and mitigation policies in Cameroon: pathways of synergy

2013· book· en· W396934424 on OpenAlexaff
F. Kengoum, Tiani A.M.

Bibliographic record

VenueCenter for International Forestry Research (CIFOR) eBooks · 2013
Typebook
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsMinistère des Transports
FundersEuropean Space Agency
KeywordsAdaptation (eye)Climate change adaptationEnvironmental planningEnvironmental resource managementGeographyPolitical scienceEnvironmental scienceEcologyClimate changeBiologyNeuroscience

Abstract

fetched live from OpenAlex

The purpose of this study is to identify new synergistic pathways between climate change mitigation and adaptation policies in Cameroon using an approach based on a literature review of the political processes that led to the introduction of the two strategies. The common feature of the two political processes is the absence of strategy in Cameroon. The country is finding it difficult to assimilate and coordinate these processes at the national level. More attention is being given to mitigation than to adaptation. In any case, it is difficult to formulate any political options without complete studies on the responses to the drivers of deforestation and forest degradation and on the vulnerability of the forest populations and their capacity to absorb climate shocks.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.477
Threshold uncertainty score0.447

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 science0.0010.000
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 head0.073
GPT teacher head0.295
Teacher spread0.221 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2013
Admission routes1
Has abstractyes

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