Decolonizing Information Technology Design: A Framework for Integrating Indigenous Knowledge in Design Science Research
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.
Bibliographic record
Abstract
Design science research focuses on the development of artifacts to solve practical problems in our society and there is a strong emphasis on the justificatory knowledge used to support this effort.Kernel theories used as part of the justificatory knowledge have predominantly originated from Western worldviews and resulting artifacts have been developed for modern colonial societies.This approach discriminates against and excludes marginalized groups, including Indigenous Peoples.We draw on the Mi'kmaq guiding principle of Two-Eyed Seeing to explore how Indigenous knowledge can be integrated in design science research as justificatory knowledge.We propose a framework to explain the various paths by which Indigenous knowledge integration can be done and provide examples from the literature for each path.Additionally, we present a case study showing how an Indigenous theory for the design of IT artifacts (prescriptive knowledge) can be applied in the creation of a 3D carronade model.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.009 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it