Digital Scholarship Considered: How New Technologies Could Transform Academic Work
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
New digital and web-based technologies are spurring rapid and radical changes across all media industries. These newer models take advantage of the infinite reproducibility of digital media at zero marginal cost. There is an argument to be made that the sort of changes we have seen in other industries will be forced upon higher education, either as the result of external economic factors (the need to be more efficient, responsive, etc.) or by a need to stay relevant to the so-called "net generation" of students (Prensky, 2001; Oblinger & Oblinger, 2005; Tapscott & Williams, 2010).This article discusses the impact of digital technologies on each of Boyer’s dimensions of scholarship: discovery, integration, application and teaching. In each case the use of new technologies brings with it the possibility of new, more open ways of working,although this is not inevitable. The implications of the adoption of new technologies on scholarship are then discussed.Keywords: internet; digital technology; technology in education; social media; higher education; Web 2.0
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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