From the hash-bound evidence releases
Recorded claims
Each claim states what the inspected source says, at the recorded location—bounded by its scope and graded by its confidence. Nothing here is a synthesis across works.
The Crossref-deposited abstract reports that high employee performance ranking can worsen preimplementation attitudes toward powerful AI aids, driven in part by concern about losing relative standing.
Scope: abstract-level evidence from employee-focused studies
Structured relationships
In-corpus citations
Only source-supplied cites relationships whose two endpoints are admitted are shown. Invocation evidence remains a separate relationship.
Cites (4)
- Human Trust in Artificial Intelligence: Review of Empirical Research
- Algorithms at Work: The New Contested Terrain of Control
- Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion
- To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis
Cited by (2)
Boundaries
Limitations & independence
Recorded at coding time, carried with the work forever. A claim without its limits is not evidence.
Recorded limitations
- Crossref abstract-level metadata only; the publisher surface returned HTTP 403; full text was not inspected
- Crossref supplied only year and month for the issue publication date
Source independence
publisher-only