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Early US Prison History Beyond Rothman: Revisiting<i>The Discovery of the Asylum</i>

2019· article· en· W2947183186 on OpenAlexaff
Ashley T. Rubin

Bibliographic record

VenueAnnual Review of Law and Social Science · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPrisonInstitutionalisationContext (archaeology)CriminologySociologyLawPolitical scienceHistory

Abstract

fetched live from OpenAlex

David J. Rothman's The Discovery of the Asylum, one of the first major works to critically interrogate the beginning of America's extensive reliance on institutionalization, effectively launched the contemporary field of prison history. Rothman traced the first modern prisons’ (1820s–1850s) roots to the post-Revolution social turmoil and reformers’ desire for perfectly ordered spaces. In the nearly 50 years since his pioneering work, several generations of historians, inspired by Rothman, have amassed a wealth of information about the early prisons, much of it correcting inaccuracies and blind spots in his account. This review examines the knowledge about the rise of the prison, focusing on this post-Rothman work. In particular, this review discusses this newer work organized into three categories: the claim that prisons were an invention of Jacksonian America, reformers’ other motivations for creating and supporting prisons, and the frequently gendered and racialized experiences of prisoners. The review closes by reflecting on the importance of prison history in the contemporary context and suggesting areas for future research.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0020.007
Scholarly communication0.0040.008
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.009
GPT teacher head0.275
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2019
Admission routes1
Has abstractyes

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