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Examining the Physio, Psycho and Socio-Economic Implications of Non- Residential Policy on Imo State University Students

2012· article· en· W1941598823 on OpenAlexvenueno aff
EC Pat-Mbano, Iheanyi Alaka, O. Okeoma

Bibliographic record

VenueCanadian social science · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicUrban, Neighborhood, and Segregation Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAccommodationGovernment (linguistics)PopulationPolitical scienceState (computer science)Economic growthPublic administrationSociologyBusinessPsychologyEconomics

Abstract

fetched live from OpenAlex

The Imo State University (IMSU), is running a nonresidential policy despite her growing student population. Although her policy has led to tremendous development of Ugwuorji layout and other close neighbourhoods, its implications on students have been neglected by the institution. This paper examines the effects of this policy on the student performances. The result upheld the alternative hypothesis that off-campus system has effect on the student’s success. The paper observed that all the students live off-campus, in mostly purpose-built and modified hostels, owned by individuals. They pay very high rents and struggle for accommodation with other home-seekers. They also lack regular and direct access to water supply and electricity in their accommodation to support their studies. Security in these off-campus accommodation were observed to be porous. There were other challenges as indicated by these students. These findings have negative physiological, psychological, and socio-economic implications on the performance of the students. It concluded that the students cannot attain optimal academic performance, living under the observed conditions. The paper therefore advocates for assistance from the Imo State government to facilitate the development of high-rise hostels within the campus, provision of necessary infrastructure and adequate security personnel to support improved academic performance. Key words: Imo State University (IMSU); Accommodation; Nigerian university students; Nigeria; Imo State government Resume L’Universite de l’Etat d’Imo (IMSU), est en cours d'execution d’une politique non-residentielle en depit de sa population etudiante croissante. Bien que sa politique a conduit au developpement considerable de mise en page Ugwuorji et d’autres quartiers proches, ses implications sur les eleves ont ete negliges par l’institution. Ce document examine les effets de cette politique sur les performances des eleves a l’art. Le resultat a confirme l’hypothese alternative que hors campus systeme a un effet sur la reussite de l’eleve. Le document fait remarquer que tous les etudiants vivent hors campus, dans la plupart des auberges de but-construits ou modifies, appartenant a des particuliers. Ils paient des loyers tres eleves et de la lutte pour le logement avec d’autres maisons d’asile. Ils manquent egalement d’un acces regulier et direct a l’approvisionnement en eau et d’electricite dans leur logement pour financer leurs etudes. Securite dans les hebergements hors campus ont ete observes a etre poreux. Il y avait d’autres defi s, comme indique par ces etudiants. Ces constatations ont des repercussions negatives sur physiologiques, psychologiques et socio-economique sur la performance des eleves. Il a conclu que les etudiants ne peuvent pas atteindre des performances optimales scolaire, de logement dans les conditions observees. Le document preconise donc a l’aide du gouvernement l’Etat d'Imo a faciliter le developpement des gratte-ciel auberges au sein du campus, la fourniture de l'infrastructure necessaire et le personnel de securite adequates pour soutenir un meilleur rendement scolaire. Mots cles : Universite de l’Etat d’Imo; accomodation; Etudiants Nigeriens; Nigeria; Gouvernement de l’Etat d’Imo

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
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 head0.038
GPT teacher head0.334
Teacher spread0.296 · 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 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

Citations8
Published2012
Admission routes1
Has abstractyes

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