Search results for "rankinglistat"

showing 5 items of 5 documents

Organisational Legitimation Strategies in Social Media : How Business Schools Address Declining Ranking

2023

Public relations scholarship has drawn on organisational legitimacy theory to show how organisations appeal to stakeholders’ acceptance of their existence and importance in society. Studies have shown how different types of organisations utilise communication strategies in social media to gain legitimacy. This chapter contributes to public relations research by examining how a sample of business schools implemented legitimation strategies in their social media posts when their legitimacy was threatened. The findings show that when ten world-class European business schools faced declining institutional rankings between 2016 and 2019, they made use of four legitimation strategies—authorisatio…

yhteisöviestintäkauppakorkeakoulutrankinglistatsosiaalinen mediaviestintästrategiatlegitimiteettikorkeakoulutsijoittuminenviestintä
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Kilvoittelusta kilpailuun?: artikkelikokoelma korkeakoulututkimuksen juhlasymposiumista 25.-26.8.2008

2009

opintomenestyskorkeakoulupolitiikkakilpailukykyrankinglistatopiskelijavalinnattyömarkkinatkorkeakoulutustutkimustoimintatoimintaympäristövalmistuminenkoulutuspolitiikkaammattikorkeakoulutammatinvalintaakateeminen työvoimaopintojen kestodiskurssiSuomisäännötkorkeakoulutarvotmenestystekijätkorkeakoulupedagogiikkayliopistotkansainvälistyminentutkinnon suorittaneetverkostotopiskelijattyöllistyminenlaatuluokanopettajateläinlääketiedetutkinnottyöhönsijoittuminentoiminnan teoriatyytyväisyyskorkea-asteen koulutuskorkeakouluopiskelututkimuskilpailuikälukihäiriötarviointiopetussuunnitelmat
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Mislabel Detection of Finnish Publication Ranks

2019

The paper proposes to analyze a data set of Finnish ranks of academic publication channels with Extreme Learning Machine (ELM). The purpose is to introduce and test recently proposed ELM-based mislabel detection approach with a rich set of features characterizing a publication channel. We will compare the architecture, accuracy, and, especially, the set of detected mislabels of the ELM-based approach to the corresponding reference results on the reference paper.

FOS: Computer and information sciencesComputer Science - Machine LearningComputer sciencerankinglistatMachine Learning (stat.ML)computer.software_genreMachine Learning (cs.LG)Set (abstract data type)Statistics - Machine LearningDigital Libraries (cs.DL)julkaisukanavatvirheanalyysimislabel detectionExtreme learning machineExtreme Learning Machine (ELM)publication channelsComputer Science - Digital LibrariesData setkoneoppiminendataData miningrankingsarviointicomputertieteellinen julkaisutoimintaCommunication channel
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Can we automate expert-based journal rankings? Analysis of the Finnish publication indicator

2020

The publication indicator of the Finnish research funding system is based on a manual ranking of scholarly publication channels. These ranks, which represent the evaluated quality of the channels, are continuously kept up to date and thoroughly reevaluated every four years by groups of nominated scholars belonging to different disciplinary panels. This expert-based decision-making process is informed by available citation-based metrics and other relevant metadata characterizing the publication channels. The purpose of this paper is to introduce various approaches that can explain the basis and evolution of the quality of publication channels, i.e., ranks. This is important for the academic …

tiedelehdetfeature importanceComputer scienceProcess (engineering)rankinglistatjulkaisutmedia_common.quotation_subjectLibrary and Information Sciences050905 science studiestutkimusrahoitusautomaatioperformance-based research funding systemFeature (machine learning)Quality (business)automationmedia_commonbusiness.industry05 social sciencesData scienceAutomationComputer Science ApplicationsMetadatamachine learningkoneoppiminenRanking0509 other social sciences050904 information & library sciencesbusinessCitationarviointiDisciplinetieteellinen julkaisutoimintaJournal of Informetrics
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The global ranking game : narrowing academic excellence through numerical objectification

2018

The objective of this article is to study some of the intended and unintended effects on academe of the evolving global ranking game. I will start with some broader points on the global ranking game, the formal terms and economic interests it promotes, then continue with a presentation of the Shanghai ranking and its main rival the Times Higher Education. Through reversed engineering, I will bring out the main problems of the Shanghai ranking. I will finish with some of the key features of the demand side, the uses and effects of the tool: the psychosocial mechanisms that reproduce ranking and the lock-ins it creates. peerReviewed

rankinglistatsymbolic powerkorkea-asteen koulutusglobal ranking gameAcademic Ranking of World Universities (ARWU)numerical objectificationglobalisaatioeducational globalizationyliopistotvaltarakenteetvalta
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