Towards a Better Understanding of the Different Computing Disciplines
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
The field of computing has undergone significant differentiation over the past twenty years, resulting in several distinct computing sub-disciplines. After extensive consultation with experts and industry stakeholders, the ACM [1] defined five distinct sub-disciplines within the computing field: computer science (CS), information systems (IS), computer engineering (CE), software engineering (SE), and Information technology (IT). While these areas are unique, they are not completely discrete, and there seems to be ambiguity around which tasks fit into which sub-discipline. The ACM has made significant efforts to define these in terms of expected program content and by the outcomes and skills required to prepare students for the dynamic labor market. Nonetheless, research [4,5,6,9] shows that there is a need for an even clearer understanding of these sub-disciplines by the academic community, by guidance and career counsellors, and by, of course, prospective students.
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 | 0.000 |
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