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Evidence · The claim ledger

Frontline workload & documentation4

Every cited claim this site makes in this evidence area, with the sources that ground it. Source keys link back to the full reference lists on the Evidence Registry.

EmpiricalProfessional caseload standards published by the Child Welfare League of America recommend no more than about 15 familie…

Professional caseload standards published by the Child Welfare League of America recommend no more than about 15 families per worker, sitting well below documented practice loads.

Sources: childwelfareleagueofamerica, childrenandfamilyresearchcen2002, academyforprofessionalexcell2021

Appears on: /pan-lab

EmpiricalIn a two-year child-welfare ethnography, an ill-fitting algorithmic tool imposed ongoing repair work on caseworkers — an…

In a two-year child-welfare ethnography, an ill-fitting algorithmic tool imposed ongoing repair work on caseworkers — anticipatorily editing the inputs they supplied so the tool would return a usable result, and bending or working around procedure to reconcile its output with the case in front of them — labor spent making a poorly-suited tool usable rather than on the casework itself, distinct from any deliberate checking of the output.

Sources: saxena2024

Appears on: /pan-lab

EmpiricalDocumentation and administrative recording consume the majority of frontline social-care time: in a nationally represent…

Documentation and administrative recording consume the majority of frontline social-care time: in a nationally representative snapshot of the U.S. child-welfare workforce, caseworkers spent about 4.3 of 8.0 daily working hours on documentation (n=183), and a UK children's-services review found more than half of social-care time going to recording and paperwork — the demand baseline against which any documentation-assistance benefit is measured.

Sources: opre2025, burbidge2022

Appears on: /pan-lab, /what-ai-can-do

ConceptualThe workplace chapter of the social work volume argues that algorithmic management — end-to-end digitalised task allocat…

The workplace chapter of the social work volume argues that algorithmic management — end-to-end digitalised task allocation, workflow organization, performance evaluation, scheduling and income distribution — is adopted for operational efficiency and cost reduction, and that the same systems erode frontline autonomy and make it hard for a worker to understand or question a decision about their work. The chapter reports no original measurement, so this is a documented direction and an argued mechanism, never a magnitude.

Sources: guo2026

Appears on: /pan-lab