Family Life, Moral Regulation and the State: Social Steering and the Personal Sphere
Bibliographic record
Abstract
The architects of the modern welfare state including Meidner and Rehn in Sweden, Laroque in France, Marsh in Canada, Van Rhijn in the Netherlands and Beveridge in Britain, had a vision of a society in which the collective resources of the state could be used to create a more just and humane social order (George, 1996). In Britain, Beveridge understood the welfare state project as the eradication of the five giants of idleness, want, disease, ignorance and squalor. He also believed that the instrument to accomplish that task was a welfare state which pooled risk through the principle of social insurance and channelled collective resources into the provision of free healthcare, education and affordable council housing in order to support family life. Part of the purpose behind welfare state intervention in social and family life has been to influence the choices that citizens make about their own and their children’s lives. The concept which will be used to examine this notion is social steering , action through which a social actor or social system is moved from one position to another by the intentional decisions of a political authority. The central issue to be examined is the degree to which control of the steering process in the field of social policy, particularly that area that deals with family life, is undermined by the transfer of responsibility for welfare from the state to civil society. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.023 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".