From Exploration to Design: Aligning Intentionality in Community Informatics Projects
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
This article focuses on a particular aspect of research and design processes in community-based projects: the transition from exploratory stages, concerned with knowledge production, to design stages, in which goals for action-taking are formulated and desired directions for change are envisioned. This paper offers a reflection about the methodological processes that underpin this transition, in response to the questions: How are design goals formulated in community informatics interventions that rely on data-intensive exploratory methodologies, and what factors and dynamics shape them? Guided by these questions, we shed light on various issues related to this transition by recounting and analysing cases taken from field experiences within three different community projects in Syria, Brazil and Mozambique. The article proposes that the transition is associated with shifts in intentionality, which are elusive and hard to grasp, particularly in participatory approaches. Three analytical categories are put forward to illuminate the dynamics of intentionality shifts along the continuum of transitioning from exploration to design. Reflections based on the empirical cases are contributed.
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 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 | 0.017 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| 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