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Big Data and Sociology

Szerkesztő:

Tibor Dessewffy, László Láng

Released: Replika 92–93, 155–156.

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Issue content

Majority-minority Monologue
Social Structure and Recognition
- Viktor Berger
- Ákos Huszár
- Katalin Füzér
Recognition: Norms and Classes from Philosophical and Sociological Perspectives
- János Weiss
Timeliness or Untimeliness of the Concept of Labour
- Tamás Ullmann
Context and Hidden Problems of the Theory of Recognition
- László Gergely Szücs
Individual Autonomy in the Quest for Recongnition
- Róbert Tardos
Recognition, Prestige, Exclusion, Social Capital
- Péter Róbert
Dilemmas of Class Analysis and Stratification Research in Hungary
- Zoltán Csizmadia
- Ádám Páthy
- Péter Tóth
Components of Social Stratification in a Hungarian Metropolitan Area
- Márk Áron Éber
Class Structure in Hungary from the Perspective of the World-Systems Analysis
- Axel Honneth
On Not Two But Three Notions of Liberty
Big Data and Sociology
- Tibor Dessewffy
- László Láng
The Chance Encounter of Big Data and Sociology on an Operating Table
- György Csepeli
Sociology and Big Data
- Zoltán Gayer
Taste Analysis and Big Data
- László Z. Karvalics
A Contribution to Anchoring Big Data in Social Science
- Renáta Németh
Do the Numbers Really Speak for Themselves?
- Iván Székely
Data-free Zones: Their Necessity and Chances
- Tibor Dessewffy
- László Láng
Code/Coda
Replika Dispute: Thesis in Discussion
- István Harcsa
Towards “an Adequately Complex, Well Thought Out and Empirically Grounded View of Society”

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