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Record W2303009950

Metissage and the Establishment of Orphanages for Abandoned Children in Early Twentieth Century Senegal

2014· article· en· W2303009950 on OpenAlexaboutno aff
Hilary Jones

Bibliographic record

VenueSSRN Electronic Journal · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsnot available
Fundersnot available
KeywordsMetisColonialismApprenticeshipAlienationPopulationAdministration (probate law)Gender studiesPolitical scienceCriminologyHistorySociologyEthnologyLawArchaeologyDemography
DOInot available

Abstract

fetched live from OpenAlex

In 1912, French anthropologists put pressure on the Ministry of Colonies to deal with the problem of abandoned illegitimate children in French colonies. The fear of a growing population of metis who suffered alienation from French society and their natal land became a cause cA©lA¨bre for colonial observers and garnered the attention of colonial officials. Between 1912 and 1918, the French administration in West Africa established a series of orphanages aimed at providing for the material needs of indigent children and the training required to make an honest living. This paper examines the creation of an orphanage at the agricultural station called Richard Toll in colonial Senegal. Organized as a hospice and boarding school for abandoned mulattos and indigenes seeking apprenticeship. Based on administrative documents from the Senegal National Archives and the French Overseas Archives, this paper takes a close look at how the administration identified abandoned children and why colonial officials designated certain metis children as prime candidates for the orphanage. In considering critical race and gender theory, this paper explores the implications that this institution held for shaping ideas about respectable motherhood, illegitimate birth, interracial sexuality, and mA©tis identity in early-twentieth century Senegal.

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)0.001
metaresearch head score (Gemma)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score0.409

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.009
Scholarly communication0.0030.002
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.267
Teacher spread0.260 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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Same venueSSRN Electronic JournalSame topicMigration, Identity, and HealthFrench-language works237,207