From Needy and Dependent to Independent Homo Ludens
Bibliographic record
Abstract
We began assembling this special issue because the use of digital computers for gaming (digital gaming) in later life has been rather underresearched, yet we know of a growing body of interested parties across the world starting to look into it and needed a place to bring it together. For this introduction to the articles on offer, we wanted to explore first why such a topic is so underresearched. We live in an aging society and in many nations across the globe, life expectancy is rising. In the United Kingdom, for example, there are now more people aged over 60 than those aged under 18 for the first time in history (Office for National Statistics [ONS], 2014b). In such countries, the number and proportion of people aged 65 and older are expected to continue to rise, with the prevalence of older adults increasing the most. The first issue is that an aging population is often viewed as dire and problematic for society; the burden of the old age utilizing health care and accessing benefits and pensions creating a drain on society.
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 | 0.000 | 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 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".