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Record W4407882053 · doi:10.1080/09518398.2025.2470942

“We would like to have some playing time here too” – Ghanian students push back at essentialist teachers and cognitive focused curriculum in resource rich school

2025· article· en· W4407882053 on OpenAlexaff
Richardson Addai-Mununkum, Joseph Bless Darkwa

Bibliographic record

VenueInternational Journal of Qualitative Studies in Education · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsEssentialismCurriculumCognitionPsychologyResource (disambiguation)Mathematics educationPedagogySociologyComputer scienceGender studies

Abstract

fetched live from OpenAlex

Despite extensive research highlighting the benefits of play in education, many educators still perceive it as a distraction from “real” academic work. Existing studies on play have largely overlooked learners’ perspectives, focusing instead on the views of parents, educators, and policymakers. Grounded in Michael Schiro’s curriculum theorisation, this qualitative case study explores how students in a resource-rich public school in Ghana perceive and experience play. Over one school term, we engaged 14- to 15-year-old students and teachers through interviews, observations, and photo elicitations. Our findings reveal that while abundant resources can enhance learning, they may also unintentionally restrict play opportunities, creating tensions between students’ holistic development and curriculum priorities. These contradictions underscore the need for a balanced approach to education. We call on educators to rethink curriculum design and prioritise holistic learning experiences that acknowledge adolescent students’ right to play as an essential part of their growth.

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)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.172
Threshold uncertainty score0.659

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.045
GPT teacher head0.459
Teacher spread0.415 · 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.

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

Citations1
Published2025
Admission routes1
Has abstractyes

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