Video Game Equipment Loss and Durability in a Circulating Academic Collection
Bibliographic record
Abstract
Objective – This article reviewed twelve years of circulation data related to loss and damage of video game equipment, specifically consoles, game controllers, and gaming peripherals such as steering wheels, virtual reality headsets, and joysticks in an academic library collection. Methods – The authors analyzed data gathered from game equipment bibliographic and item records. Only data related to the console system, game controllers, and peripherals such as steering wheels, virtual reality headsets, and joysticks were evaluated for rate of circulation, loss, and damage. Cables and bags were not evaluated because the replacement cost for these items is negligible when considering long-term budgeting and maintenance of a game collection. Results – The majority of video game equipment can be circulated without unsustainable loss or damage. The library has been able to continue circulating video game equipment without undue replacement costs or loss of access for its patrons. Conclusion – Although equipment will occasionally break or be lost, libraries should not let this unduly affect consideration when starting a video game collection.
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.
How this classification was reachedexpand
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 | 0.002 |
| 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 | 0.220 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".