DETERMINING IT TCO: LESSONS AND EXTENSIONS
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
All resources need to be managed to realize opportunities. Isolating the benefits of Information Technology and relating them to the associated costs has proved elusive and threatened emerging opportunities. A change of approach has been advocated to overcome these problems which focuses on the Total Cost of Ownership. Over the past several years, the Total Cost of Ownership has been both hailed and scorned. The origins of the Total Cost of Ownership and its development provide the foundation for inquiry. The advantages and disadvantages of this cost measure are discussed from the extant management literature. Current usage of the Total Cost of Ownership is examined. Considerations of capacity levels, opportunity costs, and positive and negative externalities are introduced to focus on cost containment issues. The assessment identifies the pitfalls and opportunities in using the Total Cost of Ownership to ascertain the costs of Information Technology. 1.
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 | 0.001 |
| 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