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Perceptions and Suggestions Towards Adolescent Sexuality Education Among Secondary School Teachers in Region 1, The Gambia

2025· article· en· W4413203610 on OpenAlexfundno aff
Phebian Ina Grant Sagnia, Fatou Dally Bittaye, Michael Hamadi Secka

Bibliographic record

VenueJournal of Public Health International · 2025
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsSexuality educationMisinformationHuman sexualityChristian ministryPsychologyPerceptionPedagogyMedical educationSex educationSociologyPolitical scienceMedicineGender studies

Abstract

fetched live from OpenAlex

Comprehensive Sexuality Education (CSE) is a school-based intervention aimed at correcting misinformation surrounding sexual education among youth, often influenced by social media, peer groups and misleading online content. In The Gambia, the Ministry of Basic and Secondary Education has developed and introduced a national framework to integrate CSE from Grade 4 (primary school level) to Grade 12 (senior secondary school level). This study explores the perceptions and recommendations of 50 secondary school teachers from 43 public and private schools in Region 1 on the implementation of CSE in schools. While some teachers expressed concerns that CSE might promote perverted and lewd early sexual behavior, others saw it as essential for increased awareness and youth well-being. Cultural, religious, and societal norms pose significant implementation barriers towards the implementation of CSE in schools. Teachers’ insights are vital for successful CSE delivery and educational strategy improvements.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.035
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.123
GPT teacher head0.478
Teacher spread0.356 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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