• Facets (new session)
• Description
• Metadata
• Settings
  • Rule: ActivityStreamsMapasEquivalentb3sb3sifpdbprdf-labelfacetshttp://dbpedia.org/resource/inference/rules/dbpedia#http://dbpedia.org/resource/inference/rules/opencyc#http://dbpedia.org/resource/inference/rules/umbel#http://dbpedia.org/resource/inference/rules/yago#http://dbpedia.org/schema/property_rules#http://www.ontologyportal.org/inference/rules/SUMO#http://www.ontologyportal.org/inference/rules/WordNet#http://www.w3.org/2002/07/owl#ldpoplwebskos-transurn:det:rdf:labelvirtrdf-labelvirtrdf-urlNone
    
  • Inverse Functional Properties: Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects
  • "Same As": Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects (recommended) Apply to subjects, objects and predicates (not recommended on big datasets) Apply to predicates only (special use cases only)

About: Donald Francis Roy     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : yago:Whole100003553, within Data Space : dbpedia.org associated with source document(s)

Type: Thingpersonyago:WikicatAmericanSociologistsyago:CausalAgent100007347yago:LivingThing100004258yago:Object100002684yago:Organism100004475yago:Person100007846yago:PhysicalEntity100001930yago:YagoLegalActoryago:YagoLegalActorGeoyago:Scientist110560637yago:SocialScientist110619642yago:Sociologist110620758yago:Whole100003553 New Facet based on Instances of this Class

Donald Francis Roy (1909–1980) was a sociologist on the faculty of Duke University from 1950 to 1979. Well known for his field work into industrial working conditions, workplace interactions, social conflict, and the role of unions. Roy received a bachelor's degree and Masters from the University of Washington where he did ethnographic fieldwork in a Seattle shantytown and his PhD from the University of Chicago. Roy's work surveys much of blue-collar America (beginning in 1934 he took employment in around 24 "bottom rung" jobs in 20 industries), and is of great importance to Marxist analysis of the time.