scholarly journals Towards Labour Market Intelligence through Topic Modelling

Author(s):  
Francesco Colace ◽  
Massimo De Santo ◽  
Marco Lombardi ◽  
Fabio Mercorio ◽  
Mario Mezzanzanica ◽  
...  
2012 ◽  
Vol 2 (3) ◽  
pp. 225-239 ◽  
Author(s):  
Dionne Lee

PurposeApprenticeships in England are currently experiencing a revival. The purpose of this paper is to provide a general overview of apprenticeships in England, examine current government policy, and explore current issues around the further development of apprenticeships.Design/methodology/approachDesk research, including reviewing other research articles and labour market intelligence has been carried out to provide a general overview of the issues.FindingsApprenticeships have traditionally been regarded as the vocational route to stable employment. Although they have sometimes suffered from a poor reputation they are now becoming an increasingly popular option for both younger and older people. The knowledge economy is driving up the demand for higher level skills and concurrent with this is the notion that, in today's competitive labour market, experience is vital. Not only has this impacted on the popularity of apprenticeships but also upon more traditional “academic” routes such as higher education (HE). In addition it has raised questions about higher level skills and vocational education. The introduction of Higher Apprenticeships and work experience/real world interactions built into HE courses are establishing synergies between the two elements of the skills/education system; however, developing these synergies further is a critical issue for future consideration.Originality/valueThere is a proliferation of publications tracking the nature and value of apprenticeships. This paper traces apprenticeships and their evolution and examines how practices adopted can be applied to newer vocational options being integrated into HE. The paper considers apprenticeships and other vocational options, building on the author's own discussions with employers and recent graduates.


2019 ◽  
Vol 22 (1) ◽  
pp. 81
Author(s):  
Graham Attwell ◽  
Deirdre Hughes

Las decisiones sobre el aprendizaje y el trabajo deben ubicarse en un contexto particular espacial, de mercado laboral: los individuos toman decisiones dentro de "estructuras de oportunidad" particulares y sus decisiones y aspiraciones se enmarcan dentro de su comprensión de tales estructuras. Este artículo examina formas en las que se puede aplicar el aprendizaje sobre carreras con datos abiertos e inteligencia del mercado laboral. Un estudio de caso ilustrativo del proyecto LMI for All en el Reino Unido muestra la viabilidad técnica del diseño y desarrollo de dichos sistemas y un modelo para su difusión e impacto. La tendencia hacia los datos abiertos y las aplicaciones cada vez más poderosas para procesar y consultar datos han cobrado impulso. Esto, combinado con la necesidad de información sobre el mercado laboral para la toma de decisiones en mercados laborales cada vez más inestables, ha llevado al desarrollo y pilotaje de nuevos sistemas de información del mercado laboral (LMI), que involucran a múltiples grupos de usuarios. Existen desafíos universales debido al uso cada vez mayor de LMI, especialmente en la asignación de empleos y el uso en rápida expansión de datos abiertos en diferentes entornos de educación y empleo. Destacamos seis temas emergentes que deben abordarse para que los datos abiertos y la inteligencia del mercado laboral puedan aplicarse de manera efectiva en diferentes contextos y entornos. Concluimos reflexionando sobre la urgente necesidad de ampliar el cuerpo de investigación y desarrollar nuevos métodos de co-construcción en asociaciones de colaboración innovadoras.


Author(s):  
Htay Htay Win ◽  
Aye Thida Myint ◽  
Mi Cho Cho

For years, achievements and discoveries made by researcher are made aware through research papers published in appropriate journals or conferences. Many a time, established s researcher and mainly new user are caught up in the predicament of choosing an appropriate conference to get their work all the time. Every scienti?c conference and journal is inclined towards a particular ?eld of research and there is a extensive group of them for any particular ?eld. Choosing an appropriate venue is needed as it helps in reaching out to the right listener and also to further one’s chance of getting their paper published. In this work, we address the problem of recommending appropriate conferences to the authors to increase their chances of receipt. We present three di?erent approaches for the same involving the use of social network of the authors and the content of the paper in the settings of dimensionality reduction and topic modelling. In all these approaches, we apply Correspondence Analysis (CA) to obtain appropriate relationships between the entities in question, such as conferences and papers. Our models show hopeful results when compared with existing methods such as content-based ?ltering, collaborative ?ltering and hybrid ?ltering.


2020 ◽  
pp. 753-770
Author(s):  
Grzegorz Slusarza ◽  
Marek Cierpial-Wolan

The values of the natural environment in the subject literature are commonly indicated as an asset conducive to development shaping the competitiveness of areas with such values. The paper attempts to assess the use of endogenous potential of such areas in shaping the multifunctional, sustainable development of rural areas that have such qualities. In particular, the aim was to check to what extent the sme sector, dominating in the economic structure of rural areas, solves the key problem of labour market imbalance and population migration in environmentally valuable areas. The area of detailed research is Podkarpacie, the Polish region considered as a peripheral, border region, the least urbanized region with the highest share of areas covered by various forms of nature protection and forestation, with one of the lowest gdp per capita indicator in the country. For the purpose of implementing the research assumptions, a taxonomic unit (using the complete linkage method) consisting of powiats with the highest concentration of features characteristic for rural areas of high natural values was separated. Synthetic indicators calculated on the basis of the Hellwig taxonomic development pattern method and a positional method using Weber's median were used to assess the diversity of entrepreneurship level. The research confirmed that the non-agricultural economic activity sector is less developed in areas of high natural value. Despite positive developments in the enterprise sector, their potential is too weak an economic base for addressing unsustainable labour market problems, as evidenced by high unemployment and a high negative migration balance. This limits the use of the endogenous potential of these areas and is not conducive to the concept of multifunctional, sustainable development. Migration poses a threat to the depopulation of these areas with all the negative consequences associated with such processes. This is a challenge for the studied areas and regional policy.


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