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Resistance to Fossil Fuel Extraction Projects in Africa as Climate Action

2025· book-chapter· en· W4409654892 on OpenAlexaff
Jesse Salah Ovadia

Bibliographic record

VenueOxford University Press eBooks · 2025
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsResistance (ecology)Fossil fuelExtraction (chemistry)Action (physics)Environmental scienceNatural resource economicsEnvironmental protectionWaste managementEngineeringEcologyEconomicsBiologyChemistry

Abstract

fetched live from OpenAlex

Abstract Since the early 2000s, new oil and gas reserves have been found in numerous African countries, prompting calls to use these resources for economic development and structural transformation. Citizens and their governments have been sold visions of fantastic new wealth springing from fossil fuel extraction. In enthusiastically pursuing these projects, governments have ignored the cursed legacy of environmental destruction and underdevelopment associated with oil and gas in the continent’s two major producers, Angola and Nigeria. They have also ignored the risks associated with new oil and gas developments in the context of green energy transitions. New fossil fuel projects, even those far offshore, have brought significant conflict and opposition from civil society and especially from host communities. In most cases, resistance to fossil fuel extraction has been noninstitutional and rooted in concern over who benefits rather than concern over climate action. However, the environmental and social impacts from these projects have already impacted citizens in their everyday lives. Therefore, African organizations and activists have begun to sound alarm bells about climate change as well as the transition risks (stranded assets and fossil fuel lock-in) associated with global climate action.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.988
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
Bibliometrics0.0010.000
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 head0.052
GPT teacher head0.219
Teacher spread0.167 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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