Oferta de emprego: habilidades necessárias para Arquivistas em empresas no Brasil

Jacintho, Eliana Maria dos Santos Bahia; González, José Antônio Moreiro

doi:10.5433/1981-8920.2019v24n1p424

Cited by 3 publications

(3 citation statements)

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“…When analyzing the content of these instruments in light of the literature and the reality of the Brazilian job market, studies in the field of Information Science have pointed out the need to adapt the competencies outlined in these instruments to the demands and expectations of contemporary society (Bahia;Moreiro Gonzalez, 2019;Oda;Santa Anna, 2017;Souza, 2014).…”

Section: Professional Competence Of Archivistsmentioning

confidence: 99%

Emergency management in archives: professional competence of archivists in Santa Catarina, Brazil

Rodrigues,

Bahia

2023

CLCS

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National and international organizations advocate for emergency management in archives to preserve this significant portion of a nation's cultural heritage. Studies document a lack of emergency plans in archives in many countries and unpreparedness among archivists. This study identifies the professional competence of archivists to work in emergency management in archives in the state of Santa Catarina, Brazil. This is a theoretical-applied, qualitative, exploratory study that includes bibliographic, documentary, and field research. The results indicate varying levels of exposure to disaster risks and absence of emergency plans in the surveyed archives. In this context, archivists have an entrepreneurial competence profile, anchored in preservation knowledge, with a perspective on the protection of cultural heritage, a holistic view of the buildings, and the ability to build partnerships for emergency management in the archives.

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Section: Professional Competence Of Archivistsmentioning

confidence: 99%

Emergency management in archives: professional competence of archivists in Santa Catarina, Brazil

Rodrigues,

Bahia

2023

CLCS

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“…Outros trabalhos buscam uma estrutura de cobertura parcial com abrangência específica, como em (31,32,33,34), em que os autores se propõem a analisar as habilidades de vagas de emprego para vagas de TI, Arquivista, Controller e Gerente, respectivamente. Em (31), desenvolve-se uma ontologia hierarquizada para habilidades de vagas de TI usando dados da DBpedia, que é uma base de dados estruturados extraídos da Wikipedia (35).…”

Section: Modelo De Vaga De Empregounclassified

“…Em (31), desenvolve-se uma ontologia hierarquizada para habilidades de vagas de TI usando dados da DBpedia, que é uma base de dados estruturados extraídos da Wikipedia (35). Por outro lado, em (32,33,34), busca-se entender melhor as habilidades solicitadas nas vagas específicas supracitadas, utilizando a estrutura elaborada para coleta de informações e posterior análises estatísticas.…”

Section: Modelo De Vaga De Empregounclassified

Segmentação Semântica De Vagas De Emprego: Estudo Comparativo De Algoritmos Clássicos De Aprendizado De Máquina

MARTINS¹

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This dissertation demonstrates how web mining, natural language processing, and machine learning can be combined to improve understanding of job openings by semantically segmenting the texts of their descriptions. To achieve this purpose, textual data were collected from three major job sites: Catho, LinkedIn and VAGAS.com.br. Based on the literature, this work proposes a simplified semantic structure in which each sentence of the job description can belong to one of these classes: Responsibilities, Requirements, Benefits and Others. With this idea, the semantic segmentation task can be rethought as a sentence segmentation followed by a classification. Using Python as a tool, some ways of constructing features from texts are tried out, both lexical and semantic, and four classic machine learning algorithms: Naïve Bayes, Logistic Regression, Support Vector Machine, and Random Forest. As a result, this work presents a classifier (Logistic Regression with binary representation) with 95.58% accuracy, without model overfitting and without degeneration by class unbalance, which is comparable to state-of-the-art for Text Classification. This classifier was trained and validated using Catho data, but was also tested on VAGAS.com.br (88.60%) and LinkedIn (91.14%) data, providing evidence that its learning is generalizable to data from other sites. In addition, the classifier was used for semantic segmentation of job openings and obtained a P k metric equals to 3.67% and a WindowDiff metric equals to 4.78%, which is comparable to state-of-the-art for Text Segmentation. Finally, it is worth highlighting two indirect contributions of this work: 1) a structure for thinking and analyzing job openings and 2) an indication that classical algorithms can also reach the state of the art and therefore should always be tried.

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Competências e habilidades digitais requeridas aos profissionais da informação nos anúncios brasileiros de emprego na web

Paletta¹,

Pastor-Sánchez

González

2021

EPI

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We analyze online job ads to identify the digital competences that companies and organizations demand from information professionals. This information is obtained from a content analysis of online job ads. Their retrieval from the web is terminological, and specialists select ads that include knowledge, activities, or requirements related to information science and digital transformation. After the ad format is standardized, the ads are analyzed using an ad hoc taxonomy for categorization. The taxonomy and the corpus of the ads are compared using automatized XML files in Apache Solr. Based on the taxonomy, we approach the text of the ads. The obtained data are stored as CSV files, from which we generate the general and specific groups of knowledge. The results are displayed according to classes of knowledge and professional profiles, focusing on those that relate to digital transformation. We explain the activity branches and the transversal informatics knowledge of the companies offering the positions. The specific knowledge in the digital environment is then presented, interpreted, and grouped according to the ads’ most characteristic facets: digital objects, data banks; digital services; data analysis; knowledge banks and artificial intelligence; software; knowledge organization systems (KSO); rights and values; and web and portals. These facets are distinguished by their frequency and by the transformations they generate in professional activities. We conclude by considering the appearance of profiles that are quite removed from traditional denominations and activities, as well as considering the effects of digital transformation in a highly complex labor market and on the development of digital competences.

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Oferta de emprego: habilidades necessárias para Arquivistas em empresas no Brasil

Cited by 3 publications

References 0 publications

Emergency management in archives: professional competence of archivists in Santa Catarina, Brazil

Emergency management in archives: professional competence of archivists in Santa Catarina, Brazil

Segmentação Semântica De Vagas De Emprego: Estudo Comparativo De Algoritmos Clássicos De Aprendizado De Máquina

Competências e habilidades digitais requeridas aos profissionais da informação nos anúncios brasileiros de emprego na web

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