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title: 14 References
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# 14 References

\[1\] Vass, B. (2026). Box 3 reviewer feedback, linked to the evaluation data. ObjectivEye internal analysis, 16 October 2026.

\[2\] ObjectivEye (2026). Objectives and priorities – main objectives, customer cases and priorities, AI backend priorities, capability mapping. Internal document.

\[3\] Sackett, P. R., Zhang, C., Berry, C. M. & Lievens, F. (2022). Revisiting meta-analytic estimates of validity in personnel selection: Addressing systematic overcorrection for restriction of range. Journal of Applied Psychology, 107(11), 2040–2068. https://gwern.net/doc/statistics/meta-analysis/2021-sackett.pdf

\[4\] Sackett, P. R., Zhang, C., Berry, C. M. & Lievens, F. (2023). Revisiting the design of selection systems in light of new findings regarding the validity of widely used predictors. Industrial and Organizational Psychology, 16(3), 283–300. https://www.cambridge.org/core/journals/industrial-and-organizational-psychology

\[5\] ObjectivEye (2026). Biographical data and skills-based matching – from traditional scoring methods to evidence-based skills profiles. Internal methodological note.

\[6\] Stokes, G. S. & Searcy, C. A. (1999). Specification of scales in biodata form development: Rational vs. empirical and global vs. specific. International Journal of Selection and Assessment, 7(2), 72–85. https://doi.org/10.1111/1468-2389.00108

\[7\] Cucina, J. M., Caputo, P. M., Thibodeaux, H. F. & Maclane, C. N. (2012). Unlocking the key to biodata scoring: A comparison of empirical, rational, and hybrid approaches at different sample sizes. Personnel Psychology, 65(2), 385–428. https://doi.org/10.1111/j.1744-6570.2012.01244.x

\[8\] Speer, A. B., Siver, S. R. & Christiansen, N. D. (2020). Applying theory to the black box: A model for empirically scoring biodata. International Journal of Selection and Assessment, 28(1), 68–84. https://doi.org/10.1111/ijsa.12271

\[9\] Adhikari, A., Vethman, S., Vos, D., Lenz, M., Cocu, I., Tolios, I. & Veenman, C. J. (2024). Gender mobility in the labor market with skills-based matching models. AI and Ethics, 4(1), 163–167. https://link.springer.com/article/10.1007/s43681-023-00410-5

\[10\] Bertrand, M. & Mullainathan, S. (2004). Are Emily and Greg more employable than Lakisha and Jamal? A field experiment on labor market discrimination. American Economic Review, 94(4), 991–1013.

\[11\] TNO (2022). Het skillspaspoort: mogelijke oplossing voor 'vrij reizen' over de arbeidsmarkt. https://www.tno.nl/nl/newsroom/2022/01/skillspaspoort-oplossing-arbeidsmarkt/

\[12\] TNO (2025). Grootste experiment met skillspaspoorten. https://www.tno.nl/nl/newsroom/insights/2025/02/grootste-experiment-skillspaspoorten/

\[13\] TNO (2026). Pilot skillspaspoort in de Metalektro. https://www.tno.nl/nl/newsroom/papers/pilot-skillspaspoort-metalektro/

\[14\] ObjectivEye (2026). Bias Monitoring Framework – AI–human and reviewer consistency, group fairness and parity, selection-threshold impact. Internal document, May 2026.

\[15\] ObjectivEye (2026). ObjectivEye_Assessment_Concept.pptx, concept presentation (39 slides); ObjectivEye_Sprint2_Update_19Oct.pptx, sprint update; illustrations ObjectivEye_CV_to_match_flow, \_flow_employer, \_flow_candidate, \_review_candidate_profile, \_review_compare (PNG/SVG).

\[16\] Lenz, M. (2026). Generalised evidence-based assessment ontology – motivation, research basis, development priorities, Layers 1–3 and system-wide adoption. ObjectivEye internal concept note.

\[17\] ObjectivEye (2026). The ObjectivEye platform – services, gateway routing and upstreams (platform documentation, dev environment, revision 0345e03).

\[18\] ObjectivEye (2026). Ontology Service – General Skills Taxonomy, semantic search, extraction and matching (service documentation).

\[19\] ObjectivEye (2026). Candidate Evaluation Service – asynchronous scoring, pipeline stages, operations (service documentation).

\[20\] ObjectivEye (2026). Assessment items & when they work well – description, question, rubric; core quality checks (internal note).

\[21\] Lenz, M. (2026). AI lifecycle management framework – milestone achievement report, May 2026 (UNIIQ).

\[22\] ObjectivEye (2026). Generation Service – tasks, feedback counterparts, configuration (service documentation).

*Sources \[3\], \[4\], \[9\], \[11\], \[12\] and \[13\] were re-read for this report; \[14\], \[17\]–\[22\] are the internal documents supplied for Part II; \[6\] and \[7\] were checked through their published abstracts (Stokes & Searcy: higher validities and less faking with empirical keys overall, specific rational scales as predictive as the empirical item key; Cucina et al.: rational keying lowest, hybrid best at small samples). \[8\] is cited through the methodological note \[5\]. All figures in the illustrations are fictitious.*