Rural employment in industrialised countries<sup>⋆</sup>
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
Abstract This paper assesses the recent changes in rural employment in the OECD countries, highlighting the growing role of employment in services and, in some cases, manufacturing activity. In many, but not all, rural areas the secular decline in agricultural employment has been more than counterbalanced by growing employment in these other sectors. However, the diversity of employment growth within and between rural areas is stressed, as are the implications of this diversity for policy. A range of explanations for the relative economic success of some rural areas is explored. These include the impacts of globalisation; restructuring of the labour market; new‘consumption’ demands on the rural areas; and human mobility. The paper concludes that traditional theories do not explain the diversity of outcomes in rural areas. New approaches are needed. Recent analyses under the banner of‘the new economic geography’ has advanced our understanding of the pre‐conditions for rural development to occur, but understanding the diverse pattern of rural employment outcomes within the same kind of geography remains a challenge which needs to be addressed by inter‐disciplinary approaches and methods.
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) | 0.003 | 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