MétaCan
Menu
Back to cohort

The Dynamics of Cameroon’s Major National Dialogue and Attempts at Resolving the Anglophone Crisis since 2016: Understanding National and International Responses

2024· article· en· W4392371370 on OpenAlexaboutno aff
Emmanuel Yenkong Sobseh

Bibliographic record

VenueScholars Journal of Arts Humanities and Social Sciences · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsnot available
Fundersnot available
KeywordsDynamics (music)Political scienceRegional scienceDevelopment economicsGeographySociologyEconomicsPedagogy

Abstract

fetched live from OpenAlex

This paper revisits the historical roots and attempts by national and international parties in preventing and resolving the Anglophone Crisis since the last phase of its escalation in 2016. It argues that, the Major National Dialogue that was influenced by bottom-up pressures from national, regional, and international actors in the form of protests and armed confrontations, has not successfully addressed the conflict. While the Government thinks that the Dialogue at the Conference Centre in Yaoundé from 30 September to 4 October 2019 was successful, leaders of opposition parties, civil society activists and separatist groups responses show that it was a big failure and a “non-event” that had nothing to do with their struggle for separation and independence. The study which depended on both the rich primary and secondary sources that exist on post-independence Cameroon, argues that, the failure of both the Swiss-led and Canadian-led peace talks and the inability of the government to cooperate with external parties and separatist leaders has given way to more violence in the regions. The study concludes that, for peace and security to be restored, the government of Cameroon must put aside its interests and reorganize an inclusive, broad-based and transparent National Dialogue without preconditions, especially as the crisis has rendered the entire Anglophone regions ungovernable.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.002
Scholarly communication0.0010.001
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 head0.111
GPT teacher head0.346
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; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueScholars Journal of Arts Humanities and Social SciencesSame topicInternational Development and AidFrench-language works237,207