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Record W2246983183

An Assessment of Co-operative Society as a Strategy for Rural Development in Edo State of Nigeria

2015· article· en· W2246983183 on OpenAlexvenueno aff
Osadebamwn Anthony Ogbeide

Bibliographic record

VenueJournal of rural and community development · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCommunity and Sustainable Development
Canadian institutionsnot available
Fundersnot available
KeywordsRural developmentGeographyPolitical scienceEconomic growthSocioeconomicsSociologyAgricultureEconomics
DOInot available

Abstract

fetched live from OpenAlex

The main object of this paper is to assess the role of co-operative societies as a development strategy. The study was conducted in Edo State of Nigeria. One hundred and fifty respondents were selected using a convenient sample technique. They were drawn from three local government areas of the State. A structured questionnaire was used to collect data from the respondents. Statistical analysis was accomplished by means of frequency distribution, percentages and Chi square. The result of the analysis showed that the co-operative society strategy is successful and should indeed be encouraged in the development of the rural communities. The study showed that there is a significant relationship between the co-operative society and the growth in size of the rural business in the rural community and that there is also a significant relationship between the growth in the co-operative society and the creation of employment in the rural community. The study may lack generalization due to the small number of co-operatives used for the study and the convenient sample nature of the selected respondents. Keywords: co-operative society; rural development; fisheries; assessment; strategy -------------------------------------------------------------- Resume L'objectif principal de cet article est d'evaluer le role des societes cooperatives comme strategie de developpement. L'etude fut menee dans l'Etat d'Edo au Nigeria. Cent cinquante candidats furent selectionnes a l'aide d'une technique d'echantillonnage simple. Les personnes sondees appartiennent a trois regions gouvernementales locales de l'Etat. Un questionnaire structure fut utilise pour collecter les donnees des repondants. Les analyses statistiques furent realisees grâce a une distribution des frequences, des pourcentages et le chi carre. Le resultat de l'analyse montrent que la strategie de la societe cooperative est un succes et devrait en fait etre encouragee dans le developpement des societes rurales. L'etude montre qu'il y a une relation significative entre la societe cooperative et la croissance en taille de l'entreprise rurale dans la communaute rurale et qu'il y a aussi une relation significative entre la croissance de la societe cooperative et la creation d'emplois dans la communaute rurale. L'etude pourrait manquer de generalisation a cause du faible nombre de cooperatives utilisees pour l'etude ainsi que la nature pratique de l'echantillonnage des personnes selectionnees.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.056
GPT teacher head0.398
Teacher spread0.342 · 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 designObservational
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

Citations12
Published2015
Admission routes1
Has abstractyes

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