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Record W4210545738 · doi:10.4309/jgi.2022.49.8

Understanding sports betting among young male student-teachers in Ghana

2022· article· en· W4210545738 on OpenAlexvenueno aff
Ernest Yeboah Acheampong, Emmanuel Osei Sarpong, Memunatu Mahamah

Bibliographic record

VenueJournal of Gambling Issues · 2022
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPeer pressurePromotion (chess)Intervention (counseling)PsychologyRationalityWork (physics)Medical educationPublic relationsSociologySocial psychologyPolitical scienceMedicineEngineeringPsychiatry

Abstract

fetched live from OpenAlex

Drawing on sports betting, leisure studies and rationality concept provides information to understand how those training to be teachers are gradually gravitating towards gambling to the detriment of their studies at the university. A thorough analysis of 42 young male adults interviewed at betting shops in the university community revealed how they have become involved in sports betting activities for additional financial rewards. Results show that peer pressure is a strong persuader drawing new student teachers to sports betting activities, which makes it difficult for them to effectively focus on their studies. This has resulted in certain of the students getting poor grades, loss of concentration in class, strained relationships, increased exclusion or rejection from study groups, as well as significant negative effects on academic work, health and well-being, family, and society at large. This study recommends that stakeholders in education address this increasing social issue among young male adults through effective preventive strategy and educational promotion as an intervention to avoid thwarting the progress of the new educational reforms in Ghana.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.335
GPT teacher head0.448
Teacher spread0.113 · 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

Citations18
Published2022
Admission routes1
Has abstractyes

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