Qualitative analysis of Yugoslav self-management surfaces institutional designs (1950 Basic Law, 1965 reforms, 1974 Constitution) that anticipate modern degrowth provisioning. This post shows researchers and policy teams how to turn the August 20, 2025 Resilience article into reproducible insights using AI-enabled qualitative research on www.evidano.com, from thematic extraction to cross-segment comparison and visualizations.
Fast take: why this matters for researchers
Milica Kočović De Santo’s article (published August 20, 2025) re-frames Yugoslav self-management (1945–1991) as an institutional ancestor of post-growth democracy. Read the original analysis at www.resilience.org/stories/2025-08-20/yugoslav-self-management-forgotten-seeds-of-post-growth-democracy/.
- Core claim: worker councils + local self-management units redistributed surplus to universal provisioning (education, healthcare, culture).
- Key legal milestones: 1950 Basic Law (transfer to labor collectives), 1965 market reforms, 1974 Constitution (systemic decentralization).
- Research payoff: archival texts like this can be coded for mechanisms (surplus allocation, territorial democracy, commons governance) and operationalized as policy design patterns.
Findings snapshot
| Date | Item | Why it matters | Source |
|---|---|---|---|
| 1945–1991 | Yugoslav self-management era | Practical experiment in democratic control of production and social provisioning | De Santo (Resilience, Aug 20, 2025) |
| 1950 | Basic Law on Transfer of State Enterprises to Labor Collectives | Workers gained direct control over enterprise surplus distribution | Article; primary law referenced |
| 1965 | Economic reforms | Introduced market mechanisms alongside socialised surplus allocation | Article; historical reform cited |
| 1974 | Constitutional decentralization | Codified workers’ councils, local self-management units, broader territorial democracy | Article; Constitution law 1974 |
| 2024 (source) | Revista Cultura Económica adaptation | Original academic adaptation: Revista Cultura Económica, Año XLII N 108 (2024): 50-85 | DOI link cited in article |
What happened, core mechanisms in plain language
De Santo’s piece identifies three operational mechanisms that qualitative researchers should code and compare across sources:
- Surplus governance: enterprises allocated surplus to wages, reinvestment, amortization, and social/common needs, a built-in funding route for universal provisioning.
- Multi-scalar democracy: workers’ councils (enterprise level) linked to mesna zajednica (local community units) and territorial planning, allowing resource flows to the community level.
- Commons framing: social ownership managed through democratic participation rather than state bureaucratic allocation or market exchange.
Limitations to note when coding: political tensions and 1980s–90s crisis altered implementation; any thematic analysis should tag ‘intent vs practice’ and timeframe (early reforms vs late-stage crisis).
Implications for researchers & policy teams
For qualitative researchers
Use comparative codebooks that distinguish institutional design (laws, councils), practices (surplus allocation decisions), and outcomes (access to services).
Prioritize temporal segmentation: 1950–1965 (institution-building), 1965–1974 (hybrid markets), 1974–1991 (constitutional consolidation → crisis).
Validate themes against archival sources and oral histories to avoid over-generalizing from legal texts alone.
For policy & degrowth teams
Translate coded mechanisms into policy building blocks: (1) enterprise surplus routing, (2) local fiscal autonomy, (3) participatory planning forums.
Assess transferability: tag context variables (geopolitical position, industrial composition, state capacity) before recommending direct adoption.
Use evidence maps to show which Yugoslav practices sustained provisioning vs which failed during crises.
Do more, faster with Evidano
Ingest & align heterogeneous sources
Problem: mixed inputs, academic articles, constitutional text, oral histories (Serbo-Croatian and variants).
Evidano solution: import PDFs, transcripts, and spreadsheets; use translation + custom dictionary for proper nouns (e.g., mesna zajednica) and preserve legal terms.
Thematic coding at scale
Problem: manual coding is slow and inconsistent across coders/timeframes.
Evidano solution: import or build a codebook, run AI-assisted coding across thousands of pages, then inspect and correct with human-in-the-loop review.
Cross-segment and frequency analysis
Problem: how to compare implementation across regions and decades?
Evidano solution: generate cross-segment matrices (e.g., enterprise type × decade) and frequency tables to surface where mechanisms were active or eroded.
Visualize & communicate
Problem: stakeholders need concise evidence to act.
Evidano solution: create co-occurrence networks, hierarchical code→subcode visuals, and exportable reports with clickable quotes for briefings.
Security & reproducibility
Evidano note: data is encrypted and never used to train third-party models; projects are exportable for audit and replication.
Checklist: 7-step workflow to reproduce these insights
Run this two-week pilot to convert the Resilience article and related sources into policy-ready findings:
- 1) Gather corpus: download the article (Aug 20, 2025), primary laws (1950 Basic Law, 1974 Constitution), and selected oral histories/transcripts.
- 2) Import to Evidano: upload PDFs/transcripts and tag languages; add a custom dictionary for institutional terms.
- 3) Auto-extract themes: run an initial thematic pass to surface candidate codes (surplus, councils, provisioning).
- 4) Build codebook: merge AI suggestions with researcher-defined codes; lock for batch coding.
- 5) Cross-segment analysis: compare codes by decade, region, and actor type; generate frequency tables and co-occurrence networks.
- 6) Validate: sample-coded passages, run inter-coder checks, and annotate contested passages for qualitative nuance.
- 7) Package findings: create a one-page evidence map + slide-ready visuals and export CSVs for quantitative follow-up.
Quick ethics note
This is historical and policy research; if you add oral histories or human subjects data, follow consent, anonymization and local archival protocols. Evidano supports PII redaction during transcription when needed.
Wrapping up: next steps
If you want to turn the ideas in the Resilience piece into reproducible evidence (mechanisms, timelines, transferability), start with a focused pilot: ingest the 1950–1974 legal corpus plus the August 20, 2025 article, run thematic coding, and produce a cross-segment evidence map.
- Ready to pilot? Explore a guided demo or upload a sample corpus at www.evidano.com and see how archival governance mechanisms map to modern provisioning designs.
Keep reading
- Commentary on NewsTwo Definitions: Climate Change Acceptance for UndergradsHow a PLoS One Delphi study (Aug 25, 2026) defined climate change acceptance for undergraduate science students, and how AI-enabled qualitative analysis applies it.
- Commentary on NewsResearcher-in-the-loop: AI-enabled UX researchHow the researcher-in-the-loop model governs AI-enabled UX research. Learn practical governance, stats from the August 2026 piece, and how Evidano supports this workflow.
- Commentary on NewsResearcher-in-the-Loop: Governance for AI UX ResearchGovern AI in qualitative UX research with the researcher-in-the-loop model from Jennifer L. Bowie (Aug 25, 2026): practical rules, risks, and tool mappings.
