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Record W2959284523

"Building community" at the national and/or international level in the context of the Digital Humanities

2019· article· en· W2959284523 on OpenAlexaboutno aff
Martin Grandjean

Bibliographic record

VenueIRIS · 2019
Typearticle
Languageen
FieldComputer Science
TopicResearch Data Management Practices
Canadian institutionsnot available
Fundersnot available
KeywordsAllianceEnthusiasmContext (archaeology)InstitutionalisationField (mathematics)Political scienceDigital humanitiesPublic relationsMedia studiesSociologyHumanitiesLawGeographyArt
DOInot available

Abstract

fetched live from OpenAlex

Knowledge production has always act globally, and when it comes to the early networks of scholars can still be traced in their letter correspondence. With the emergence of more prominently in the 1970s, research communities have organized themselves in many different ways. The enthusiasm generated by the promises of what was sometimes perceived as a field were to some extent echoed in new forms of institutionalization, to the point of defining a discipline in its own right. But the enthusiasms was also accompanied by a certain resistance of communities reluctant to introduce technology into their field. The term of digital humanities in these earlier days of adopting methods into the created an area, a niche, inside which pioneers in Digital Humanities could gain critical mass. Today, where methods are far more widely applied, one can observe an almost opposite trend, the abandoning of a ‘specific label’ and a much broader advocacy concerning all humanities. What remains specific for DH communities is the close alliance between content providers (which themselves are in a process of digitisation content and access), scholars applying methods, and computer scientists linking to new methodological achievements in their field. However, this alliance can express itself in very different forms of national and international organisation, and is far from following a specific model. This panel examines different ways of forming a among scholars and scholars in other fields, and other actors in DH. The contributions span a range from generic ways to design research infrastructures in the SSH, over national solutions to supranational coordination. The purpose of this panel is to unfold the diversity of the current digital humanist movement”, not only to compare, but also to understand what is at stake for the actors involved and what impact the different forms of organisation have on creation and evolution of research communities. We further discuss issues of cohesion and durability. Through the papers presented, we will examine the impact of bottom-up, top-down and horizontal strategies as well as the adoption of hybrid solutions (organizational, disciplinary, methodological, scalar) in the design of research communities. This approach will allow us to put convergences and challenges into perspective and to question the re- compositions at work within SSH communities. This panel will highlight the experiences of SSH research communities from different cultures and organizations rooted at different levels of governance, such as some French communities structured around institutional nodes such as Maisons des Sciences de l'Homme (MSH), or research infrastructures at the national (TGIR Huma-Num) or European level (DARIAH ERIC); project based collaboration of research infrastructures (DANS, The Netherlands) and Canada (CRIHN); and professional networks and transnational associations related to (e.g. Humanistica, the French-speaking association of humanities, or the Latin American network for under construction). The comparison of the experiences presented will not produce a homogeneous and smooth image but will highlight differences in approaches and organisation. Even it seems nearly impossible to give account of every association that could be representative on a way to build community in DH, the chair of the session will make an introduction with a brief summary of this landscape. That said, besides the geographical aspect that we try to include, another is that we are giving voice to formal and informal associations such as the LatamHD network, that is just at an early stage and that is not yet defined in its goals. We decided to propose several solutions to deal with the diversity of needs and practises inside our communities and we wanted to present some of them to share our experiences and initiate discussions during this panel in order to develop collaborations with colleagues sharing the same kind of constraints. Thus, the objective is to have a broad discussion with the audience to broaden the perspectives to other experiences. This panel aims to contribute to the reflective work in the wider DH context about factors of constitution, consolidation and evolution of its research communities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.984
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0160.032
Scholarly communication0.0160.028
Open science0.0020.030
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0110.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.263
GPT teacher head0.390
Teacher spread0.127 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2019
Admission routes1
Has abstractyes

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Same venueIRISSame topicResearch Data Management PracticesFrench-language works237,207