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
TaskCams are simple digital cameras intended to serve as a tool for Cultural Probe studies and made available by the Interaction Research Studio via open-source distribution. In conjunction with an associated website, instructions and videos, they represent a novel strategy for disseminating and facilitating a research methodology. At the same time, they provide a myriad of options for customisation and modification, allowing researchers to adopt and adapt them to their needs. In the first part of this paper, the design team describes the rationale and design of the TaskCams and the tactics developed to make them publicly available. In the second part, the story is taken up by designers from the Everyday Design Studio, who assembled their own TaskCams and customised them extensively for a Cultural Probe study they ran for an ongoing project. Rather than discussing the results of their study, we focus on how their experiences reveal some of the issues both in producing and using open-source products such as these. These suggest the potential of TaskCams to support design-led user studies more generally.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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