Cortext platform
At Cortext, our goal is to empower researchers in the social sciences and humanities by promoting advanced qualitative-quantitative mixed methods. Our primary focus is on studies about the dynamics of science, technology and innovation, and about the roles of knowledge and expertise in societies.
We understand the move towards digital humanities and computational methods not as addressing a technological gap for the social sciences, but rather as entailing entirely new assemblages between its disciplines and those of modern statistics and computer sciences. We work to tackle ever more complex research problems and deal with the profusion of new and diverse sources of information without losing sight of the situatedness and reflexivity required of studies of human societies.
Cortext is hosted by the LISIS research unit at Gustave Eiffel University, and was launched by French institutes IFRIS and INRAE, receiving their continued support.
Cortext Manager
Cortext Manager is our current main attraction, a publicly available web service providing data analysis methods curated and developed by our team of researchers and engineers.
You upload a textual corpus in order to analyse its discourse, names, categories, citations, places, dates etc, with methods for science/controversy/issue mapping, distant reading, document clustering, geo-spatial and network visualizations, and more.
You can jump straight to Cortext Manager and create an account, but we strongly suggest taking a look at the Documentation and Tutorials as you start your journey.
Latest journal articles employing our instruments
Journal Articles
2022
Rikap, Cecilia
The expansionary strategies of intellectual monopolies: Google and the digitalization of healthcare Journal Article
In: Economy and Society, 2022.
@article{Rikap2022b,
title = {The expansionary strategies of intellectual monopolies: Google and the digitalization of healthcare},
author = {Cecilia Rikap},
url = {https://www.tandfonline.com/doi/full/10.1080/03085147.2022.2131271
https://www.tandfonline.com/doi/epdf/10.1080/03085147.2022.2131271?needAccess=true&role=button},
doi = {https://doi.org/10.1080/03085147.2022.2131271},
year = {2022},
date = {2022-11-01},
urldate = {2022-11-01},
journal = {Economy and Society},
abstract = {As big tech companies are entering new industrial sectors, an open question concerns the drivers of their expansionary strategies. This paper proposes that these companies are currently entering sectors based on their data-driven intellectual monopoly power, thereby complementing the preliminary answer provided by political economy research which has argued that expansion is driven by their infrastructural power. This approach is developed through a historical analysis of tech giants as companies that systematically turn knowledge and data into intangible assets, showing their expansionary strategies in the healthcare sector to be mainly driven by insights obtained from those intangible assets (a monopolized intangibles driver) and by a quest for conquering new knowledge and data to perpetuate their intellectual monopolies (an intangibles prospecting driver). The paper further illustrates its arguments through a case study of Google’s expansionary strategy and its prioritized incursion into healthcare.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Lascialfari, Matteo; Magrini, Marie-Benoît; Cabanac, Guillaume
Unpacking research lock-in through a diachronic analysis of topic cluster trajectories in scholarly publications Journal Article
In: Scientometrics, vol. 127, 2022.
@article{Lascialfari2022,
title = {Unpacking research lock-in through a diachronic analysis of topic cluster trajectories in scholarly publications},
author = {Matteo Lascialfari and Marie-Benoît Magrini and Guillaume Cabanac},
url = {https://link.springer.com/article/10.1007/s11192-022-04514-3
https://link.springer.com/content/pdf/10.1007/s11192-022-04514-3.pdf?pdf=button%20sticky},
doi = {https://doi.org/10.1007/s11192-022-04514-3},
year = {2022},
date = {2022-11-01},
urldate = {2022-11-01},
journal = {Scientometrics},
volume = {127},
abstract = {Lock-in and path-dependency are well-known concepts in economics dealing with unbalanced development of alternative options. Lock-in was studied in various sectors, considering production or consumption sides. Lock-in in academic research went little addressed. Yet, science develops through knowledge accumulation and cross-fertilisation of research topics, that could lead to similar phenomena when some topics do not sufficiently benefit from accumulation mechanisms, reducing innovation opportunities from the concerned field consequently. We introduce an original method to explore these phenomena by comparing topic trajectories in research fields according to strong or weak accumulative processes over time. We combine the concepts of ‘niche’ and ‘mainstream’ from transition studies with scientometric tools to revisit Callon’s strategic diagram with a diachronic perspective of topic clusters over time. Considering the trajectories of semantic clusters, derived from titles and authors’ keywords extracted from scholarly publications in the Web of Science, we applied our method to two competing research fields in food sciences and technology related to pulses and soya over the last 60 years worldwide. These highly interesting species for the sustainability of agrifood systems experienced unbalanced development and thus is under-debated. Our analysis confirms that food research for soya was more dynamic than for pulses: soya topic clusters revealed a stronger accumulative research path by cumulating mainstream positions while pulses research did not meet the same success. This attempt to unpack research lock-in for evaluating the competition dynamics of scientific fields over time calls for future works, by strengthening the method and testing it on other research fields.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Miss, F. M.; Adriaense, J. E. C.; Burkart, J. M.
Towards integrating joint action research: Developmental and evolutionary perspectives on co-representation Journal Article
In: Neuroscience & Biobehavioral Reviews, vol. 143, pp. 104924, 2022, ISSN: 0149-7634.
@article{nokey,
title = {Towards integrating joint action research: Developmental and evolutionary perspectives on co-representation},
author = {F.M. Miss and J.E.C. Adriaense and J.M. Burkart},
url = {https://www.sciencedirect.com/science/article/pii/S0149763422004134},
doi = {10.1016/j.neubiorev.2022.104924},
issn = {0149-7634},
year = {2022},
date = {2022-10-22},
journal = {Neuroscience & Biobehavioral Reviews},
volume = {143},
pages = {104924},
abstract = {Joint action has increasingly become a key topic to understand the emergence of the human mind. The phenomenon is closely linked to several theoretical concepts, such as shared intentionality, which are difficult to operationalize empirically. We therefore employ a paradigm-driven, bottom-up approach, and as such discuss co-representing the partner’s and one’s own actions as key mechanism for joint action. After embedding co-representation in the broader landscape of related theoretical concepts, we review neurobiological, ontogenetic, and phylogenetic studies, with a focus on whether co-representation and its flexible deployment should be construed as a low- or high-level cognitive process. The empirical findings convergently suggest that co-representation does not require strong inhibitory skills or mentalistic understanding and occurs automatically. Moreover, more cooperative species are better at flexibly suppressing co-representation when required for cooperation success, and frequently rely on cooperation markers, such as mutual gaze. We thus contribute to closing the current gap between theoretical concepts related to joint action research and their empirical investigation, and end by highlighting additional approaches for doing so.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Hernandez-Tenorio, Fabian; Miranda, Alejandra M.; Rodríguez, Carlos A.; Giraldo-Estrada, Catalina; Sáez, Alex A.
Potential Strategies in the Biopesticide Formulations: A Bibliometric Analysis Journal Article
In: Agronomy, vol. 12, iss. 2665, no. 11, 2022.
@article{Hernandez-Tenorio2022,
title = {Potential Strategies in the Biopesticide Formulations: A Bibliometric Analysis },
author = {Fabian Hernandez-Tenorio and Alejandra M. Miranda and Carlos A. Rodríguez and Catalina Giraldo-Estrada and Alex A. Sáez},
url = {https://www.mdpi.com/2073-4395/12/11/2665
https://www.mdpi.com/2073-4395/12/11/2665/pdf?version=1667202573},
doi = {https://doi.org/10.3390/agronomy12112665},
year = {2022},
date = {2022-10-01},
journal = {Agronomy},
volume = {12},
number = {11},
issue = {2665},
abstract = {Biopesticides are pest and pathogen management agents based on living microorganisms or natural products (botanical origin). Due to their natural origins, they stand out as an environmentally friendly tool, since they quickly decompose and minimize pollution problems produced by synthetic pesticides. However, these products present significant challenges that affect the bioactivities of the active components, due to the degradation of the biomass or bioactive metabolite by factors such as air, light, and temperature. Therefore, in this study, a systematic search of the Scopus database was conducted and scientometric tools were used to evaluate formulation techniques and approaches that seek to improve the bioactivities of natural preparations. The results showed that published research on biopesticides has significantly increased by 71.24% in the last decade (2011–2021). Likewise, the bibliometrics showed, through temporal flow analysis, and in the period from 2010 to 2021, investigations evolved have toward the use of nanotechnology, with the purpose of improving and potentiating the formulations of biopesticides. Consequently, nanotechnology tools can be classified as current strategies of interest that allow the increase and protection of bioefficacy to a greater extent than traditional biopesticide preparations. This review constitutes an important contribution to future research and expands the panorama in relation to biopesticide formulations for the control of agricultural pests.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
NotesVIEW ALL
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Long trends on twitter: intertemporal clusters combining hashtags and terms on Scientometrics, Altmetrics, Bibliometrics and Science Of Science
Long trends on twitter: inter-temporal clusters combining hashtags and terms, for all tweets on Scientometrics, Altmetrics, Bibliometrics and Science Of Science from Jan. 2017 to dec. 2021, on a semester base. Query used to extract tweets: lang:en (Scientometrics OR “ScienceOfScience” OR “Science Of Science” OR “Altmetrics” OR “altmetric” OR “bibliometrics” OR “bibliometric” OR “citation metrics” […]
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Présenter CorTexT Manager en 2 minutes
Cortext Manager est une application web construite par des chercheurs et par des ingénieurs à destination de chercheurs en sciences humaines et sociales, au plus près des questions portées par les chercheurs qui nous entourent et par notre communauté d’utilisateurs. Cette application web peut produire un grand nombre d’analyses différentes qui ont trait aux champs […]
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Analysis of the scientific production that mentioned the use of CorText Manager
There are two ways to understand what CorTexT Manager is. The first one is to look at what has been achieved in terms of methods, tools and therefore lines of code. The second one is studied below, by analyzing (here with CorTexT Manager) what academic users have published using… CorTexT Manager. Our study of the […]
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10 years of CorText Manager v2
It took us more than 10 years to come with CorText Manager version 2 as it is now! Behind the scenes CorText Manager begun with a first version in 2009. More than thirty contributors has worked directly or indirectly on the two versions, year after year. All the ideas, inspirations, all this accumulation of pieces […]
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RISIS Training: Thematic and spatial analysis of technologies using CorText Manager and RISIS patent database
One of the best CorText Manager training courses was organized and offered by the RISIS project. Here is the program of this training which lasted 3 days: Monday 08/11/21 14h-16h30: Session 1 Session 1a: Introduction on patent analysis (60’) Introductory lecture session • Welcoming introduction (Philippe Larédo) 5’ • Type of patents documents (Antoine Schoen) […]
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Early 2021 CorText Manager training sessions
CorText organized a series of training workshops on CorText Manager and its methods in January 2021! These workshops were imagined as a staircase with three successive steps : Session 1: Introduction Session 2: Method comparisons Session 3: Research questions and work on user’s corpus For these sessions, the subject chosen for the demonstrations and exercises […]
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Seminar and workshop during the Summer School of PPGCI IBICT UFRJ, Rio de Janeiro – 03/2020
In March 2020, the LabEx SITES post-doctoral researcher, Ale Abdo, traveled to Rio de Janeiro and São Paulo to organize two trainings on textual analysis and on a new method he developed and integrated at the CorText Infrastructure, as well as to participate in discussions on open and citizen science in Brazil, including the discussion […]
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A CorText Manager distance training session in the framework of the nanocellulose project – Grenoble, June 2020
For complementing the RISIS access requested (to Leiden publications DB and RISIS patent DB) by the GAEL laboratory (UMR INRAE, CNRS, UGA, INPG), in the framework of a research project on nanocellulose, the CorText team has provided , in June and July 2020, an advanced training on the use of CorText. After setting up of […]
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