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05 70 :
SocialSciencesinChina A monthly No.5 06 May ABSTRACTS ()TheMeaningoftheScholasticTurnin Marx slateryearsintermsofintelectu- alhistory Chen Zhonghe 4 TheviewsthatthescholasticturninthelaterMarxwasaturningfromauniversalto aparticularisticviewofhistorylacksanyinsightintotheessenceofthechangeinhis ideas.in Marx syouthhisideasonsocietyandhistoryweremainlyrootedinhis studyof WesternEuropeancapitalism;althoughtoacertainextentexpressedas predictiveworldhistoricalconsciousnesstheywereessentialybasedonthehistorical consciousnessofwesternnationsintheindustrialage.witfogelfirmlybelievedthat scholasticturnin Marx slateryearsrepresentedashiftfroma universalistviewof history or linearviewofsocialdevelopment toanaccusationagainsttheuniversalist conceptofhistoryandreproached Marxforretreating fromtruth. Thisunderstanding cannotwithstandscientificcriticism.inhislateryearsmarxacquiredabroaderviewof worldhistorythroughhisstudyofancientandeasternsocietiesandthusmadeatrue turntoandsublimationofworld-historicalconsciousness.inhislateryearsmarxdid nothavetimetofulyunfoldthesignificanceofhisworld-historicalideasbuthedid pointoutthedirectionforourfurtherthinkingatpresentaboutchina sfutureroad andworld-historicalconsciousness. ()CausalityinBigDataandItsPhilosophicalConnotations Wang Tiansi Inbigdatadatamationquantifiescausalrelationsintorelationsbetweenvariables. Thisrepresentsagaininrelationshipstrengthandpositiveandnegativeproperties butalossintermsofinevitabilityanddirection.bigdatacorrelationgoesfurtherin thatitredefinestheconceptofcausality:causalityisadescriptionoftheprocessof interactionbetweenfactorsandwhatthesecorrelationsdescribeiscausalderivative relationships.ascausalderivativerelationshipscorrelationisrootedincausality;as factorrelationsthathavenotyetenteredthecausalinteractionprocessamongfactors andbecomefixedintocausalrelationshipscorrelationprovidessubstantialspacefor factorstoproduceresultswhichconstitutesthecausalbasisofdatamaterialization; andasfactoranalysisthecausalderivativebasisfortherelevantquantitativeanalyses buildsupthecausalfoundationforbigdataanalytics.bigdata sclarificationofcausality revealsitsunderlyingphilosophicalcontent.thefuturespaceoffactorrelationship highlightscreativeepistemologytheholisticgraspofquantitiesshownintotaldata 04