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Record W1494809969 · doi:10.3386/w15391

O Sister, Where Art Thou? The Role of Son Preference and Sex Choice: Evidence from Immigrants to Canada

2009· report· en· W1494809969 on OpenAlexaboutno aff
Douglas Almond, Lena Edlund, Kevin Milligan

Bibliographic record

VenueNational Bureau of Economic Research · 2009
Typereport
Languageen
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsnot available
Fundersnot available
KeywordsThouSisterImmigrationPreferenceGenealogyGeographyGender studiesSociologyHistoryTheologyMathematicsAnthropologyPhilosophyStatisticsArchaeology

Abstract

fetched live from OpenAlex

Sex ratios at birth are above the biologically normal level in a number of Asian countries, notably India and China. Standard explanations include poverty and a cultural emphasis on male offspring. We study Asian immigrants to Canada using Census data, focussing on sex ratios across generations and religious groups. We find sex ratios to be normal at first parity, but rising with parity if there were no previous son. Since these immigrants are neither poor nor live in a society tolerant of sex discrimination/sex selection, our findings are more consistent with a preference for sons per se (and not for sons as a means to, e.g., old age support). Additionally, we uncover strong differences by religious affiliation that align with historical differences in doctrine concerning infanticide. Comparing across generations of Asian immigrants, we find fertility responds strongly to the sex composition of older children for first generation families. For the second generation, expression of son preference through the fertility channel is muted whereas sex selection seems to persist.

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)0.004
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.875
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
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 science0.0010.000
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 head0.354
GPT teacher head0.493
Teacher spread0.139 · 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
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

Citations25
Published2009
Admission routes1
Has abstractyes

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