Publication2026
Revealing Socioeconomic perspectives: A machine learning approach to income inequality
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- Advances in Computers
- Volume
- 143
- Pages
- 411-434
- Published
- 1 January 2026
- DOI
- 10.1016/bs.adcom.2026.01.008
- Scopus ID
- 105030845101
- ISSN
- 00652458
- Authors
- 3
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
10.1 Progressively achieve income growth of the bottom 40 per cent of the population above the national average
Machine learning predictive modeling analyzes socioeconomic factors affecting income inequality for policy-relevant evidence
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
8.5 Achieve full and productive employment and decent work for all, with equal pay for work of equal value
Socioeconomic analysis examines relationships between age, education, occupation and income distribution patterns
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.5 Caring society, social protection and inclusion
Income inequality analysis supports caring society principles through evidence for equitable economic policy
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Revealing Socioeconomic perspectives: A machine learning approach to income inequality”. Kortex.