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Record W1124360414 · doi:10.29173/slw6865

Teachers'/students' library use and reading habits in Ido local government area, Ibadan, Nigeria

2013· article· en· W1124360414 on OpenAlexvenueno aff
Adetoun A. Oyelude

Bibliographic record

VenueSchool Libraries Worldwide · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Education and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsReading (process)Nonprobability samplingLocal government areaSchool libraryLocal governmentGovernment (linguistics)Mathematics educationMedical educationPedagogyPsychologySociologyLibrary sciencePolitical sciencePopulationMedicineComputer sciencePublic administration

Abstract

fetched live from OpenAlex

Reading is a skill which can be acquired in a library environment therefore educators need to get a general profile of reading habits of teachers and students and their use of library for effective educational planning. This study investigates the reading habits and use of library of teachers and students in primary and secondary schools. Using a purposive sampling technique, Questionnaire, Observation and Interview methods were used to gather information from122 respondents from five schools in the Ido Local Governm ent Area of Oyo State, Nigeria regarding general attitudes towards reading, reading habits, reading speed and general use of library. Parental interest in reading, teachers and governmental encouragement of students as well as organisation of reading programmes by Non-governmental organisations (NGOs), societies and clubs are some of the solutions proffered.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.259
Teacher spread0.244 · 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

Citations3
Published2013
Admission routes1
Has abstractyes

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