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Record W2614631541

Draw-Write-Narrate method brings forward diverse student voices in research on gender violence in Kenyan primary schools

2017· article· en· W2614631541 on OpenAlexaff
Catherine Vanner

Bibliographic record

Venue2017 Conference of the Canadian Society for the Study of Education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCredibilityKenyaPresentation (obstetrics)ReflexivityThe artsMeaning (existential)NarrativeQualitative researchPower (physics)PedagogyPsychologyMedical educationSociologyMedicineSocial sciencePolitical science
DOInot available

Abstract

fetched live from OpenAlex

Using open-ended art-based interviews with the Draw-Write-Narrate method (Ogina and Nieuwenhuis, 2010) to investigate gender violence in primary schools in Kirinyaga County, Kenya resulted in many benefits and challenges related to power, perspective, protection and credibility. This presentation describes the methodology and experience of conducting arts-based methods with children and lessons learned from meaning-making amidst a plethora of student narratives. Following three months of participant observation, individual semi-structured interviews were conducted with teachers and individual interviews were conducted with male and female upper primary school students in two case study schools. The art-based approach to student interviews enabled a student-centered process that was child-friendly and encouraging while minimizing risks to participants. Art-based research with children requires researchers to approach data collection and analysis with caution and reflexivity in order to highlight participants

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)0.017
metaresearch head score (Gemma)0.004
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 score0.193
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0030.000
Research integrity0.0000.001
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 head0.719
GPT teacher head0.659
Teacher spread0.060 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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