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Record W4236254311 · doi:10.3138/9781442684430-fm

Frontmatter

2006· book-chapter· en· W4236254311 on OpenAlexfundaboutno aff

Bibliographic record

VenueUniversity of Toronto Press eBooks · 2006
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsComputer science

Abstract

fetched live from OpenAlex

The Canadian census taken in 1901 has surprising things to say about the family as a social grouping and cultural construct at the turn of the twentieth century.Although the nuclear family was the prevalent type of household, family was not a singular form or structure at all; rather, it was a fluid micro-social community in which people lived and through which they moved.There was no one 'traditional' family, but rather many types of families and households, each with its own history.In Household Counts, editors Eric W. Sager and Peter Baskerville bring together an impressive array of scholars, including Bettina Bradbury, Peter Gossage, and Kenneth Sylvester, who use the 1901 census to explore the demographic context of families in Canada.Organized into five thematic sections, the collection covers such topics as family demography, urban families, the young and old, class, religion, and identity.The remarkable plasticity of family and household that Household Counts reveals is of critical importance to our understanding of nation building in Canada.This collection makes an important contribution not only to family history, but also to the widening intellectual exploration of historical censuses.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.111
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0030.000
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.8890.779

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 head0.014
GPT teacher head0.185
Teacher spread0.171 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueUniversity of Toronto Press eBooks→Same topicCanadian Identity and History→French-language works237,207→