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Record W6894224643 · doi:10.5683/sp3/bkp6tw

Genealogy of Quebec Population from 1621 to 1965

2021· dataset· en· W6894224643 on OpenAlexaffabout

Bibliographic record

VenueBorealis · 2021
Typedataset
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinal Development and Disorders
Canadian institutionsUniversité du Québec à ChicoutimiUniversité du Québec à Trois-RivièresUniversité de Montréal
Fundersnot available
KeywordsPopulationImmigrationLineage (genetic)Value (mathematics)Settlement (finance)Founder effectInheritance (genetic algorithm)

Abstract

fetched live from OpenAlex

This file contains the genealogy of French Canadian individuals married in Quebec between the beginning of European settlement in the early 17th century and 1960 was compiled in the BALSAC database. <p> <p> (N = 4,364,381 individuals, as of March 2015, http://balsac.uqac.ca) <ol> - ‘individual’: recoded individual number ;<p> - ‘father’: recoded father's number;<p> - ‘mother’: recoded mother's number;<p> - ‘sex’: individual sexe;<p> - ‘immigrant’: logical value (true ou false) specifying if the individual is an immigrant (the first of his uniparental lineage to have married in Quebec);<p> - ‘founder’: a logical value (true or false) specifying if the individual is a founder (the first of his uniparental lineage);<p> - ‘married’: a logical value (true or false) specifying whether the individual is married;<p> - ‘maternal_lineage’: the maternal lineage number of the individual if it is a woman;<p> - 'paternal_lineage’: the paternal lineage number of the individual if it is a man;<p> - ‘wedding_year’: the year of the individual's first marriage (deduced from a data frame containing all marriages, sorted by couple);<p> - ‘wedding_parish’: URB of the individual's first marriage (deduced from a data frame that contained all marriages, sorted by couple);<p> - ‘estimated_wedding_year’: year of marriage estimated for individuals who do not have one (20 years minus the year of marriage of the couple's first child);<p> - ‘number_married_children’: number of the individual's children who have married;<p> - ‘number_married_children_Quebec’: number of the individual's children who were married in Quebec;<p> - ‘number_married_sons’ : number of sons of the individual who got married;<p> - ’number_married_daughters’: number of daughters of the individual who got married;<p> - ‘number_married_sons_Quebec’: number of the individual's sons who married in Quebec;<p> - ‘number_married_daughters_Quebec’: number of the individual's daughters who married in Quebec;<p> - ‘maternal_lineage_including_males’: the maternal lineage number of the individual even if the individual is a man;<p> - ‘region’: region where the individual was married.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.036
Threshold uncertainty score0.734

Codex and Gemma teacher scores by category

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

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 head0.008
GPT teacher head0.248
Teacher spread0.239 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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 routes2
Has abstractyes

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