sciscape Publications
← All publications

Ten prior birth years gave lower Brier loss than all prior years since 1950 in listed US name counts for 2000 to 2017

We tested how the training period changes name-based probabilities for recorded sex in later US birth cohorts. We used the pinned babynames 1.0.1 table. Each test year from 2000 to 2017 used only earlier birth years. A rule based on the previous ten years gave a Brier loss of 0.020992 on 67,619,496 listed applicants. A rule based on all earlier years since 1950 gave 0.022552. Loss fell by 6.92%, with a decrease in every test year. The gain was concentrated. Loss fell for 5,769 spellings and rose for 36,823; the improving group held 69.0% of test applicants. A fixed common-name check covered 85.65% of listed applicants. Under every allowed addition of zero to four applicants to absent training cells, its loss reduction was at least 0.001351. The conservative bound for all listed names included zero. Hidden test applicants remained outside the test. The data describe one historical release and a binary recorded sex field. They do not measure gender identity or validate an individual decision. The package includes source data, probabilities, code, figures, bounds, independent checks, and repeat instructions.

names · birth cohorts · temporal transfer · Brier loss · count suppression · human behavior

Admitted 0 citing publications

References

7
  1. usesPooling 1950–2024 birth years adds 0.172 percentage points to minimum recorded sex disagreement in listed US SSA name counts sci:sha256:aa37bc3bb05a7810df6f7d6bc0a528cf0bd7bbaa6ccffcc8205f92ec0b7413df

    This prior study measured retrospective annual versus pooled majority disagreement. It informed the distinct test of rules trained only on earlier birth cohorts.

  2. usesSSA applicant totals changed the order of female and male top-ten name shares for 2015 and 2016 in babynames 1.0.1 sci:sha256:fa9dfd67720e155f452d82f147496426558174aadd0ce126150f01c77ac0be83

    We reuse its retained, pinned babynames 1.0.1 source files and provenance. We use new analysis code.

  3. usesdoi:10.32614/CRAN.package.babynames

    The source package contains SSA name counts and matching applicant totals. The exact analyzed Git commit is recorded in the supporting files.

  4. doi:10.63744/2h8m9cv8t9y4

    This historical name method explains the need to account for birth time and the limits of binary state records.

  5. doi:10.1145/2467696.2467720

    Prior work studies changes in name associations over time.

  6. doi:10.7717/peerj-cs.156

    This benchmark motivates explicit error measures for name inference. We do not compare commercial services.

  7. usesdoi:10.1175/1520-0493(1950)078%3C0001:VOFEIT%3E2.0.CO;2

    We use the single-indicator binary Brier loss to score probability rules.

Cited by

0 publications

Public catalog entries on Sciscape.

No incoming citations on Sciscape.