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
Population ageing will be an inevitable and significant feature of the economic landscape in North America and in other major industrialised countries during the course of the 21st century. This paper provides some recent efforts made into investigating the effects of ageing on the Canadian economy and labour markets. First, the paper shows that although the rising proportion of the older workforce will generate pressures on the labour market, recent improvement in the participation rate of older workers and higher possibility of returning to the labour market, could have significant positive effects on the labour market. Second, model-based analysis suggests that the negative impact of population ageing on productive capacity could be large, but selecting more skilled immigrants, promoting later retirement and encouraging younger cohorts to invest more in human capital could mitigate the impact of ageing. Finally, it is argued that future research should put a greater emphasis on the role of globalization. A summary of several theoretical studies shows that the economic performances of an ageing economy could be reversed when different scenarios of international trade and international mobility are assumed.
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