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
This paper describes the final phase of a study that validates a group of generic attributes of graduates of Australian undergraduate degree programs with majors in Information Systems (IS). 105 academics from all Australian universities that offer IS undergraduate degree programs of study and 53 member of the Australian Computer Society (ACS) took part in this study. A three round Delphi questionnaire was used. The results of this study are compared with a previous study of generic attributes conducted by the authors in Queensland, Australia. Differences between academics and industry are identified. The top three attributes in each study are the same, although the order is reversed in the national study. Some of these include the higher ranking of interpersonal skills, teamwork, and knowledge of the IS discipline by academics compared with the higher ranking of industry of self-motivation and the ability to learn independently. Other major findings include the high ratings of the attributes of team participation and the commitment to further learning and intellectual development. Oral and written communications are significantly rated as more important than a comprehensive knowledge of IS. This study has a very strong overall correlation with the previous Queensland study.
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 | 0.000 |
| 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