OSI-PIA Project Bibliography

This is a living index of external sources cited or linked by the public OSI-PIA article series. It was assembled from the Sources and Sources and Related Articles sections of the articles listed below.

Reading rule

An entry means that an OSI-PIA article cited or linked the source. It does not mean that OSI-PIA has independently verified the source, adopted its claims, or found it current for every purpose. The article remains responsible for stating what it uses the source to support and what remains uncertain.

This bibliography is a supporting publication artifact. It does not create canonical terminology, promote research, or replace source-level provenance and review. A source’s temporal jurisdiction remains limited to the period, population, and conditions it actually describes.

Evidence-map model

The bibliography is also the intake point for literature positioning. Each source should be assessed with the following fields before it is used to support a formal paper, a canonical artifact, or a present-state claim:

  • full citation / DOI / URL — the precise source locator;
  • source type — peer-reviewed study, preprint, primary policy or guidance, industry/think-tank report, book, conceptual/theoretical work, journalism, or practitioner commentary;
  • project scope — PIA, OSI, or both;
  • relevant constructs — for example capability, fit, trust, mobility, skill utilization, overqualification, learning, internal labor markets, or machine participation;
  • study design / sample — what was actually observed and how;
  • key findings and limitations — reported separately;
  • supports — the bounded claim the source can help support;
  • does not support — conclusions the source cannot establish;
  • relationship to the current model — overlap, recombination, operational difference, or possible gap; and
  • review status — unread, skimmed, reviewed, or incorporated.

The current source entries preserve article citations and are intentionally cited-unassessed until those fields are completed. Being listed is not the same as being read, reviewed, or incorporated.

Use the Literature-Positioning Matrix to compare research traditions without treating a familiar label as proof that the OSI-PIA formulation is either novel or already established.

Bibliography review date: 2026-09-16
Source scope: public article citations in the clean repository
Article-cited source locators indexed: 41 Research-candidate source locators indexed: 7 Total external source locators indexed: 48

Article citation map

Article Repository source
Hiring Does Not Have a Talent Problem. It Has a Translation Problem Initial hiring, hidden-worker, and AI-adoption sources
The False Negative Machine AI screening, bias, ATS, employment-governance, and risk-management sources
Real Capability vs. Manufactured Polish AI-generated resume, hiring-signal, and capability-translation sources
Hidden Workers and Capability Leakage Hidden-worker, technology-labor, and people-leadership sources
Poking a Hole in the Fog of ATS War ATS and candidate-experience sources
The Wrong Metrics Are Steering the System Hiring-market, workforce-planning, and recruiting-metrics sources
What OSI Is Trying to Measure Organizational capability, workforce-planning, and AI-risk sources
When the Gate Is Right and Still Wrong Repository-access and machine-security source
Temporal Authority Temporal validity, temporal jurisdiction, and capability-state transition sources
Capability Infrastructure Should Belong to the People It Describes Open Skills/LER, digital credentials, capability portability, mobility, and organizational conversion sources

Research, policy, and primary guidance

ID Source and locator Cited in
src-001 Harvard Business School — Hidden Workers research page Translation Problem
src-002 Harvard Business School — Hidden Workers report PDF Hidden Workers; What OSI Is Trying to Measure
src-003 Accenture — Uncover missed talent pools Translation Problem
src-004 arXiv — paper 2605.27371 False Negative Machine
src-005 Stanford HAI — AI hiring tools and systemic rejection False Negative Machine
src-006 IBM — enterprise AI adoption report False Negative Machine
src-007 U.S. EEOC — assessing adverse impact of software and AI False Negative Machine
src-008 NIST — AI Risk Management Framework False Negative Machine; What OSI Is Trying to Measure
src-009 American Bar Association — AI hiring discrimination claims False Negative Machine
src-010 Reuters — Workday California AI-bias lawsuit coverage False Negative Machine
src-011 Springer — article 10.1007/s41469-025-00197-1 Real Capability vs. Manufactured Polish
src-012 World Economic Forum — Chief People Officers Outlook Hidden Workers; Wrong Metrics; What OSI Is Trying to Measure
src-013 SHRM — AI for recruitment and workforce planning Wrong Metrics; What OSI Is Trying to Measure
src-014 Anthropic — threat intelligence report When the Gate Is Right and Still Wrong

Hiring, ATS, and labor-market commentary

ID Source and locator Cited in
src-015 Harvard Business Review — AI and hiring Translation Problem
src-016 Harvard Business Review — general landing page Hidden Workers (general locator; replace with a specific article when relied on again)
src-017 VerityAI — Harvard study and qualified candidates Translation Problem
src-018 RaliOnline — AI adoption and worker confidence Translation Problem
src-019 CloudApper — AI resume screening and ATS filters False Negative Machine
src-020 Skillhub — ATS and AI resume filters False Negative Machine
src-021 BBC Worklife — AI recruiting and discrimination False Negative Machine
src-022 LinkedIn — AI and job-market blacklisting False Negative Machine
src-023 Management Consulted — candidates and AI blacklisting False Negative Machine
src-024 Mark Huang — AI Broke the Hiring Signal Real Capability vs. Manufactured Polish
src-025 Robert Half — AI-generated resumes and hiring Real Capability vs. Manufactured Polish
src-026 The Interview Guys — why AI resumes backfire Real Capability vs. Manufactured Polish
src-027 Forbes — generative AI and hiring Real Capability vs. Manufactured Polish
src-028 Softchoice — technology hiring market Hidden Workers; Wrong Metrics
src-029 Entrepreneur — efficiency and candidate invisibility Poking a Hole in the Fog of ATS War
src-030 Enhancv — whether ATS rejects resumes Poking a Hole in the Fog of ATS War
src-031 Resilient Recruiter — hiring-market change Wrong Metrics
src-032 Inc. — hiring slowdown and why it matters Wrong Metrics

Research-candidate sources for PIA and OSI positioning

These sources were added as a literature-positioning set on 2026-09-16. They were supplied for research follow-up and are not yet cited by a public article or marked as independently reviewed. Their initial type labels are provisional.

ID Source and locator Provisional type Candidate branch Review status
src-033 Person–organization fit meta-analysis Peer-reviewed meta-analysis PIA / OSI unread
src-034 Sustainable employability and the capability approach Scholarly article / repository copy PIA unread
src-035 OECD — How Workers Use, or Don’t Use, their Skills Intergovernmental research report PIA / OSI unread
src-036 Perceived overqualification meta-analysis Peer-reviewed meta-analysis PIA unread
src-037 Talent designation, high potential, performance, and mobility Peer-reviewed scholarly article PIA / OSI unread
src-038 NBER — wage and promotion dynamics in internal labor markets Working paper OSI unread
src-039 Work-sample test validity meta-analysis Peer-reviewed meta-analysis PIA unread

Sources added by Articles 8–9

These sources are now linked by the two 2026-09-16 articles. Their article claims remain bounded by each source’s own scope and temporal jurisdiction.

ID Source and locator Cited in
src-040 Burning Glass Institute and NYU — Sidetracked: The Hidden Crisis in Mid-Career Mobility Temporal Authority; Capability Infrastructure
src-041 Burning Glass Institute and OneTen — Credential Fluency: The Hiring Advantage in the Race for Skills Capability Infrastructure
src-042 Burning Glass Institute and Tullman Family Office — The Company You Keep Capability Infrastructure
src-043 Open Skills Network — Rich Skill Descriptor Capability Infrastructure
src-044 Credential Engine — Credential Transparency Description Language Capability Infrastructure
src-045 1EdTech — Comprehensive Learner Record Capability Infrastructure
src-046 1EdTech — Open Badges Capability Infrastructure
src-047 W3C — Verifiable Credentials Data Model Capability Infrastructure
src-048 HR Open Standards — Trusted Career Profile Capability Infrastructure

Initial source-type triage

This first-pass classification is deliberately provisional. It identifies the kind of publisher or artifact represented by each locator; it is not a quality ranking and does not imply that the source has been reviewed.

Source IDs Provisional source type Review status
src-001, src-002, src-012 University or think-tank research/report cited-unassessed
src-003, src-006, src-025, src-028 Industry or employer report/commentary cited-unassessed
src-004 Preprint / working paper cited-unassessed
src-005, src-011 Scholarly or research communication (publication status to verify) cited-unassessed
src-007, src-008 Primary policy, standards, or public guidance cited-unassessed
src-009 Professional or legal analysis cited-unassessed
src-010, src-021, src-027, src-029, src-032 Journalism or general-interest reporting cited-unassessed
src-013, src-014 Institutional or practitioner guidance cited-unassessed
src-015, src-016, src-017, src-018, src-019, src-020, src-022, src-023, src-024, src-026, src-030, src-031 Practitioner, vendor, or conceptual commentary cited-unassessed
src-033, src-036, src-037, src-039 Peer-reviewed scholarly research or meta-analysis unread
src-034 Scholarly article / repository copy unread
src-035 Intergovernmental research report unread
src-038 Working paper unread
src-040, src-041, src-042 University or think-tank / industry research report cited-unassessed
src-043, src-044, src-045, src-046, src-047, src-048 Primary standards or interoperability guidance cited-unassessed

Maintenance rules

  • Add a source when it is first cited by a public article; do not silently replace an existing locator.
  • Keep article-to-source relationships visible so a reader can reconstruct why a source is present.
  • Record a more precise locator when a general homepage was used initially.
  • Add publication or access dates when they are available from the source and relevant to the claim.
  • Recheck temporal validity before reusing a source for a new article or for a present-state claim.
  • Run the publication encoding, link, and governance checks whenever this bibliography changes.