The Village Where Joblessness Made Time Slow Down
In nineteen thirty-one, a team of Austrian researchers entered Marienthal, a textile village where the sole mill had closed, to investigate the social impact of mass unemployment. What they observed was not political revolt, but a quiet unraveling of daily time, routine, and communal vitality.
Listen in the Fylom app.
Over three quarters of Marienthal families relied on relief after the nineteen thirty mill shutdown.
Unemployed men walked across the village square at half the speed of employed women.
Joblessness drained initiative, causing local library withdrawals and political club memberships to plummet.
Domestic routines like laundry and cooking preserved women's sense of time while men's structure collapsed.
Work provides five non-financial psychological functions that account for twenty percent of mental health variance.
The MAGMA experiment eliminated long-term unemployment using a tailored universal job guarantee.
- 01Intro1 min
- 02The Mill Closes Its Gates2 min
- 03The Dissolution of the Clock2 min
- 04A Weary Community and the Gender Divide2 min
- 05From Latent Deprivation to the Job Guarantee3 min
- 06Outro1 min
- Marienthal the sociography of an unemployed community.pdf
- Marienthal
- 1933: Marie Jahoda, Paul Felix Lazarsfeld and Hans Zeisel: “The Unemployed of Marienthal”
- The unemployed of Marienthal
- Marienthal englisch FINAL.pdf
- 345720536 Marienthal The Sociography of an Unemployed Community
- Jobguarantee slides kasy.pdf
- 📖 [PDF] Marienthal by Marie Jahoda | 9780765809445, 9781351506977
- Employment status, psychological needs, and mental health: Meta-analytic findings concerning the latent deprivation model - PMC
- MAGMA (ended) | European Social Fund Plus
- tandfonline.com
- wisc.edu
- cardiff.ac.uk
- Jobguarantee marienthal.pdf
- One size fits all? Implementation and effects of a job guarantee for long-term-unemployed persons | Journal of Social Policy | Cambridge Core
Fylom generates episodes like this on any topic you're curious about.
Fylom episodes are researched, written, and voiced by AI. Automated checks help catch inaccuracies, but episodes aren't reviewed by a human and AI can still get things wrong. Treat them as a starting point, not a source of record — more in our accuracy disclaimer.