The Politics of Imaginaries: Probing Humanistic Inquiry in HCI
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
Over the past few decades, human-computer interaction (HCI) and interaction design (IxD) scholars have embraced humanistic traditions to cultivate new modes of inquiry: widening examinations of technology’s social constitution, from affective computing [10], aesthetic interaction [4], and experience design [23] to critical race theory [28], post-colonial computing [19], and “the more-than-human turn” [27]. Today, with mounting political and environmental crises, scholars increasingly turn to humanistic inquiry to emphasize the necessity of both critical and imaginative encounters. This work often involves recognizing and reworking systemic inequities baked into the practices, policies, and governance structures associated with computing worlds. The goal of this one-day workshop is to bring together scholars, practitioners, and makers working across HCI and the humanities to develop a concern for the politics of imaginaries. We explore technopolitical imaginaries as the creative connections drawn between past, present, and future possibilities that shape computing development. Across discussions and hands-on activities, we seek to lay the foundation for a broader conversation on the stakes of a humanistic imagination and how HCI might learn from its optimisms without shying away from the necessity of its pessimisms.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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