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pith:2026:GEKP3F3WOIDU6E3VN7WBVNWJAM
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Beyond Performance Disparities: A Three-Level Audit of Representational Harm in CelebA

Sieun Park, Yuanmo He

Cultural double standards of beauty and aging in CelebA labels, features, and attention create representational harms for women and older men.

arxiv:2605.15312 v1 · 2026-05-14 · cs.CY · cs.CV

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Claims

C1strongest claim

Cultural double standards thus pass from media representation into dataset labels, feature weights, and model attention, producing two representational harms: hyper-scrutiny of women under a narrow evaluative template, and exclusion of older men from the scheme entirely.

C2weakest assumption

The premise that hierarchical clustering of the 39 attributes, SHAP effects, and Grad-CAM attention maps can be directly interpreted as evidence of cultural archetypes and double standards without substantial confounding from dataset collection processes or model architecture choices. This enters in the alignment of clusters with performative femininity and professional masculinity and in the cultural reading of attention shifts.

C3one line summary

CelebA encodes gendered double standards of ageing and beauty that produce hyper-scrutiny of women and categorical exclusion of older men across labels, feature weights, and spatial attention.

References

94 extracted · 94 resolved · 0 Pith anchors

[1] 1976 , publisher = 1976
[2] 1979 , publisher = 1979
[3] 1977 , publisher = 1977
[4] 1991 , publisher = 1991
[5] Hunter , title = 2007
Receipt and verification
First computed 2026-05-20T00:00:52.068638Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

3114fd977672074f13756fec1ab6c903353b8e2c1b73b2950a5dcfd2c71f7952

Aliases

arxiv: 2605.15312 · arxiv_version: 2605.15312v1 · doi: 10.48550/arxiv.2605.15312 · pith_short_12: GEKP3F3WOIDU · pith_short_16: GEKP3F3WOIDU6E3V · pith_short_8: GEKP3F3W
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/GEKP3F3WOIDU6E3VN7WBVNWJAM \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 3114fd977672074f13756fec1ab6c903353b8e2c1b73b2950a5dcfd2c71f7952
Canonical record JSON
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