Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
0Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5147943112
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Haixiang Liu (openalex, provider refresh)
- Haixiang Liu (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Labor Markets: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Employment: 1 paper
- Governance And Regulation: 1 paper
- Job Displacement: 1 paper
- Organizational Efficiency: 1 paper
- Task Completion Time: 1 paper
- Training Effectiveness: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| AI is reshaping, not simply erasing, low‑skilled jobs in the UK: workers report task restructuring and mixed efficiency/displacement effects, while age matters mainly through digital skills and training access rather than as a deterministic barrier.openalex | Haixiang Liu provider id |
2026-08-26 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.