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Record W3202710439 · doi:10.47264/idea.lassij/5.2.7

DNA and historical evidence indicate many colonial French Canadians were of Sephardic Jewish ancestry

2021· article· en· W3202710439 on OpenAlexaboutno aff
Elizabeth C. Hirschman

Bibliographic record

VenueLiberal Arts and Social Sciences International Journal (LASSIJ) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsJudaismColonialismGenealogyHistoryFaithEthnologyEthnic groupPeninsulaAncient historyClassicsAnthropologySociologyArchaeologyTheology

Abstract

fetched live from OpenAlex

The Spanish Inquisition in 1492 resulted in the deaths of thousands of Spanish Jews and the exile of around 150,000. The Huguenots and Acadians who settled in Colonial French Canada are assumed to be of Christian faith and ancestry. To support this hypothesis, the researcher uses a novel combination of methods drawn from historical records and artifacts, genealogies and DNA testing. In recent years, this combination of methods has led to the discovery that several of the Plymouth Colony settlers, Central Appalachian Colonial settlers, and Roanoke Colony settlers were of Sephardic Jewish origin. Thus, using the new methodology of ancestral DNA tracing, the researcher document that the majority of Huguenot and Acadian colonists in French Canada were of Sephardic Jewish ancestry. They are most likely descended from Sephardic Jews who fled to France from the Iberian Peninsula in the late 1300s and early 1500s. The researcher additionally propose that some members of both groups continued to practice Judaism in the new world, thus becoming secret Jews or crypto-Jews. The researcher also finds evidence of Ashkenazi Jewish ancestry in both groups.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0070.003
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.052
GPT teacher head0.305
Teacher spread0.253 · 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 designObservational
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
Published2021
Admission routes1
Has abstractyes

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Same venueLiberal Arts and Social Sciences International Journal (LASSIJ)Same topicCanadian Identity and HistoryFrench-language works237,207