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Record W4414400044 · doi:10.1080/13645579.2025.2564127

Sankofa: towards African-centred research methodological framework

2025· article· en· W4414400044 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Social Research Methodology · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican cultural and philosophical studies
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsResearch methodologyQualitative researchData collectionSocial researchResearch design

Abstract

fetched live from OpenAlex

This article presents critical duo-ethnographic reflections on our experiences as Western-trained researchers conducting research in Ghana. We propose Sankofa as a methodological framework to envision possibilities for decolonizing and indigenizing research. As a methodological framework, Sankofa provides a critical paradigm for both African and non-African researchers to learn, unlearn, and relearn authentic and culturally sensitive modes of researching and mobilizing knowledge. Sankofa offers critical decolonial reflexivity in the research process by guiding researchers and participants to reflect on and learn from the histories of the past to reimagine a decolonial future. Our duo-ethnographic reflections reveal challenges, including navigating institutional ethics, respecting communal practices, and confronting power imbalances embedded in traditional research paradigms. The application of Sankofa shows promising outcomes in addressing these challenges and enabling a research process that honors African Indigenous knowledge, fosters authentic and ethical accountability and communal empowerment.

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.

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)0.047
metaresearch head score (Gemma)0.128
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.904
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0470.128
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.004
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.003
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 head0.869
GPT teacher head0.690
Teacher spread0.179 · 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