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Record W4388586929 · doi:10.52975/llt.2023v92.008

Prendre soin de la famille émancipée. La santé des affranchis et sa négociation à l’aube de la Reconstruction au Tennessee (1862–1866)

2023· article· fr· W4388586929 on OpenAlexaffvenue
Nelson Ouellet

Bibliographic record

VenueLabour / Le Travail · 2023
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Dans cet article, les contrats de travail signés au Tennessee par les propriétaires fonciers et les affranchis sont placés au centre d’une étude sur un paradoxe de la liberté aux États-Unis. Nous soutenons l’idée que la santé des affranchis – qui comprend les soins médicaux, la subsistance et la protection physique – se négocie durant et après la guerre de Sécession dans le but d’assujettir les intérêts des Noirs, de l’État et des propriétaires terriens à un idéal de relations sociales de production régi par la liberté, le droit et le marché. En examinant les contrats de travail et leurs clauses médicales, nous revisitons l’approche médico-politique qui a maintes fois conduit les historiens à la thèse de l’échec de la Reconstruction. Nous plaçons aussi la famille noire dans le processus d’émancipation et de production par la voie des contrats et d’une relecture de la « culture de la dissimulation » proposée par l’historienne Darlene Clark Hine il y a plus de trente ans. Enfin, nous nous éloignons d’une lecture qui réduit les contrats à la seule oppression dont étaient victimes les Noirs après la guerre de Sécession. En complément, nous invitons le lecteur à examiner les débats sur la citoyenneté qui ont suivi la ratification du treizième amendement.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.104
Threshold uncertainty score0.207

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.013
Scholarly communication0.0020.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.012
GPT teacher head0.240
Teacher spread0.228 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes2
Has abstractyes

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