Refining virtual cross-national research collaboration: drivers, affordances and constraints
Bibliographic record
Abstract
Purpose The study aims to explore and explain the affordances and constraints of two-mode virtual collaboration as experienced by a newly forming international research team. Design/methodology/approach This is self-reflective and action-oriented research on the affordances and constraints of two-mode virtual collaboration. In the spirit of professional development, the authors (nine researchers at different career stages and from various counties) engaged in a joint endeavour to evaluate the affordances and constraints of virtual collaborations in light of the recent literature while also researching the authors' own virtual collaboration during this evaluative task (mid-January–April 2021). The authors used two modes: synchronous (Zoom) and asynchronous (emails) to communicate on the literature exploration and recorded reactions and emotional responses towards existing affordances and constraints through a collective journal. Findings The results suggest both affordances in terms of communication being negotiable and evolving and constraints, particularly in forming new relations given tools that may not be equally accessible to all. Journaling during collaborations could be a valuable tool, especially for virtual collective work, because it can be used to structure the team supported negotiation and discussion processes, especially often hidden processes. It is evident that the role of a leader can contribute to an alignment in the assumptions and experiences of trust and consequently foster greater mutual understanding of the circumstances for productive team collaborations. Originality/value The findings of this study can inform academics and practitioners on how to create and facilitate better opportunities for collaboration in virtual teams as a rapidly emerging form of technology-supported working.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.042 | 0.093 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.022 | 0.014 |
| Open science | 0.002 | 0.024 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".