Devil in The Digital: Ambivalent Results in an Object‐Based Teaching Course
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
Abstract In 2013, I piloted a course in which students used Web‐based tools to explore underdocumented collections of Himalayan materials at Yale University. Through class‐based research and contextualization, I set students the goal of augmenting existing metadata and designing media‐rich, virtual tours of the collections that could be incorporated into the sparse catalogue holdings held within the library system. The process was experimental and had mixed results, as this article documents. The class provided an opportunity for undergraduate students from any discipline to work with objects and primary materials, requiring them to evaluate different sources of information, value, and legitimacy. Learning outcomes were nontraditional and intentionally underscripted. The collaborative and hands‐on approaches toward digitization that de‐emphasized the authority of the instructor were unsettling to some students. [digital humanities, mobile classroom, critical pedagogy, material culture, Himalaya]
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 | 0.000 |
| 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 | 0.001 |
| 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 | 0.000 |
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