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Egami, Hinck, Stewart & Wei, “Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models,” NeurIPS 2023

Source SRC-LD07-EGAMI-DOWNSTREAM-INFERENCE-2023

Open the original (DOI; link checked 2026-10-12)

Type of source
Peer-reviewed conference paper
Institutional position
Independent academic

Version

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Claims that cite this source

Raw record: coded values of this source record
Source class (bibliographic)
PEER_REVIEWED_CONFERENCE_PAPER
Source-level roles
none
Visibility
PUBLIC_REFERENCE
Registry section
none
Registry “Linked claim” (logical Claim identity; never a pinned version)
LD07-HQ-C01
Cited in field 6 of
LD07-HQ-C01--v1.0
Research-of-record provenance

Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 7fc32f9429ae1e127776c209b167ea12227af10bd39e6e86a76cc0b760bd2c07.

Frozen Drive-derived inputs

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Builder decisions (not Drive data)

  • VERSION = v1.0 — basis: First SocioLens materialized record for this Source identity; no predecessor record exists (Publication System Amendment v1.2 §4; ruling-backed production identity materialized under Issue #39). SocioLens Source-record version, not the external source's edition, revision or version of record.
  • CURRENT_POINTER = true — basis: Publication System Amendment v1.2 §4: the sole SocioLens record version for this Source identity; the materialization manifest explicitly designates SRC-LD07-EGAMI-DOWNSTREAM-INFERENCE-2023--v1.0 current.
  • VISIBILITY = PUBLIC_REFERENCE — basis: Explicit public provenance selection by LD07-HQ-C01--v1.0 (Issue #5 proof rendering (Architecture Proof Protocol v0.1 AP-08 / Amendment v1.2 §6): explicit version-pinned public provenance of this ClaimVersion — the pinned field-6 Source record "Egami, Hinck, Stewart & Wei, “Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models,” NeurIPS 2023."; Drive-derived identity authority (Issue #39 Source inventory): Batch 01 §1 "Primary source:" + publication status "PEER-REVIEWED CONFERENCE PAPER"; ledger C01 fields 6/7/8; KEY EVIDENCE.) (Amendment v1.2 §4, §6).