“Help Them Back Home”: Italian Fantasies of (Neoliberal) Inclusion from Buona Scuola to Salvini’s Government
Bibliographic record
Abstract
This paper explores how inclusive education in the Italian context has shifted from the Marxist model based on the solidarity of Integrazione Scolastica (see D’Alessio, 2011) to a neoliberal approach which targets Black migrant and forced-migrant children. The introduction of Renzi’s policy reform, Buona Scuola, marked this shift towards neoliberal inclusion, and the current far-right government, led by Salvini, adds a populist character to it, evident in his mantra of “helping them back home”. Drawing from Butler’s (1997) notions of subjectivation and referring to Tomlinson’s (1982) concept of benevolent humanitarianism, the paper analyzes how Italian educators conceptualize the inclusion of migrants and refugees through neoliberal fantasies. However, the space of neoliberal inclusion is ableist, racist, and exclusionary. Ultimately, the paper advances the intersectional approach of Disability Critical Race Theory (DisCrit) to (re)frame educational and social inclusion in Italy and to refute a neoliberal model that perpetuates racial disparities (Annamma, Connor, Ferri, 2013; 2016).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".