Critical Computational Literacy: A Call for the Development of Socially Aware, Ethically Minded Research within ACADIA
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
As computational design matures and strives to move out of the studio/lab and into the real world, multiple dimensions of literacy, valuing the social, the political, and the ethical as well as the technical and the creative, must be acknowledged and supported. This paper evaluates the presence of research advancing socially aware, ethically minded issues currently found in ACADIAÂs body of research and offers a strategy for shaping future work in this area. First, data from the CumInCAD index is used to provide a quantitative understanding of the degree to which these issues are represented in ACADIAÂs history, with particular focus on the last decade. The paper goes on to articulate key offerings from the field of Software Studies to motivate and identify possible entry points for computational designers to further engage the social and ethical agencies tied to their work. Within this context, the paper argues that the set of lenses used to understand a project's digital components expands to include social, cultural, political, and ethical effects in addition to the technical realities of implementation. The analytical methods presented are intended to support a preliminary survey of ACADIA's literature and serve as a first step in identifying avenues for pursuing socially aware, ethically minded computational design research.
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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