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Record W4387358926 · doi:10.58808/ijr1315

ANALYSING INSTITUTIONS AND OTHER STAKEHOLDERS PARTICIPATING IN LOCAL DEVELOPMENT IN MEZAM DIVISION: NORTH WEST REGION – CAMEROON

2023· article· en· W4387358926 on OpenAlexaboutno aff
Abraham MFOMBO Njisoh, Christopher FOKA NKWENTI

Bibliographic record

VenueInternational Journal for Advanced Studies and Research in Africa · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsDivision (mathematics)Quarter (Canadian coin)Administrative divisionLocal DevelopmentResource (disambiguation)Identification (biology)PopulationGeographyEconomic growthPolitical scienceRegional scienceSocioeconomicsSociologyDemography

Abstract

fetched live from OpenAlex

This study analyses the participation of institutions and other stakeholders to the development of the local communities of Mezam Division. Methods: A field survey was conducted in some villages in the division such as Awing, Akum, Mankon, Bamendankwe, Nkwen and Bafut where primary data was collected from the local population on the identification and role of institutions participating in the development of their communities. This exercise was carried out with the use of semi structured interview guide to some resource persons like mayors, Fons, quarter heads, some elites from whom more data on stakeholders’ participation was gathered. Results: There is a rich institutional framework for local development in Mezam Division. Multiple institutions participate in local development in Mezam Division.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.606
GPT teacher head0.521
Teacher spread0.084 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2023
Admission routes1
Has abstractyes

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Same venueInternational Journal for Advanced Studies and Research in AfricaSame topicUrban and Rural Development ChallengesFrench-language works237,207