The Neoliberal Targeted Social Investment State: The Case of Ethnic Minorities
Bibliographic record
Abstract
Abstract Neoliberal governance has been associated with rising inequality and economic exclusion. Recent scholarship proposes that the social investment state (SIS) is a turn away from such inequality and exclusion-enhancing neoliberalism. The ideal SIS responds to neoliberalism-generated social ills by investing in the productive capacities of all its citizens. However, commentators ask whether an SIS addresses the plight of weaker elements in society, specifically that of disadvantaged ethnic minorities. This paper looks specifically at this question by utilising a critical-case study research design of a surprising example of social investment in disadvantaged ethnic minorities: the extensive labour market policies for Israeli Arabs. This paper introduces the concept of a neoliberal targeted SIS in which social investment programmes are developed for economic reasons, promoted by neoliberal actors (right-wing parties and Ministries of Finance), target narrow groups instead of being applied to all, and the preferred mode for the delivery of services is private. Egalitarian outcomes – to the extent that they materialise – might be thought of as a policy by-product.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 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".