The Commonplace
Home Three-study pilot Papers Evidence Explore Trends Syntheses Digests References Docs 🎲 Workforce Futures
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 →
← Authors

Silva, Ivan

Exact-ORCID corpus identity

2Distinct papers
0Unique collaborators
2/2OpenAlex citation coverage

Publication span: 2026. Corpus fetch span: 2026.

Explore collaboration neighborhood Browse this author's papers

Identity provenance

Provider IDs

  • Openalex: A5133893187

ORCID evidence

Observed aliases (4)
  • Ivan Silva (openalex, provider refresh)
  • Ivan Silva (openalex, source metadata)
  • Silva, Ivan (openalex, provider refresh)
  • Silva, Ivan (openalex, source metadata)

Topics and outcomes in this view

Assessment themes

  • Human Ai Collab: 2 papers
  • Labor Markets: 2 papers
  • Governance: 1 paper
  • Org Design: 1 paper
  • Productivity: 1 paper
  • Skills Training: 1 paper

Claim outcomes

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.

Silva, Ivan's distinct papers under the selected provider observation surface.
PaperAuthor evidenceDateProvider citations
AI can create abundant candidate ideas but shift scarcity toward verification: whether humans remain economically valuable depends on measurable 'Human Computational Capital' and whether institutions return usable time to people; if returned time enhances selective capabilities, human prosperity becomes an endogenous economic input rather than only a distributional outcome.openalex Silva, Ivan
provider id		 2026-08-19 0
Through mid-2026 AI has reshaped tasks more than eliminated work: broad labor-market series show no economy-wide employment collapse, though payroll-level data reveal concentrated relative job declines among 22–25-year-olds in AI-exposed occupations. Whether AI displaces or augments workers will depend largely on organizational choices about job design, oversight and learning, so the paper proposes stronger review, explicit limits, and institutional routing of evidence and dissent toward named human decision-makers.openalex Silva, Ivan
provider id		 2026-07-13 0

Citation observation summary

OpenAlex supplied counts for 2 of 2 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.