Bibliographic record
Abstract
This contribution fathoms the potential of collaborative, co-creative media practices in precarious times – in times of climate emergency and a terrifying loss of biodiversity, accompanied by socio-psychological and socio-cultural crises. It is set in times in which, despite the urgency to react, we are still often facing a lack of comprehension for the complex global dimension of these crises, accompanied with a paralysing apathy, passive-depressive resignation and sometimes even a refusal to face collective and individual accountability as well as respond in actual doing to the urgent call to action. Taking Félix Guattari's ecosophical thought of three interdependent ecologies (1989, 1996) and their prolongation in currently emerging environmental humanities with recent discourses in documentary and digital theory as a framework, the objective of this contribution is to discuss approaches in emerging media making and to deduce strategies how to 'make things matter'. Within this bigger context, the theoretical argument is based on key concepts in co-creation as well as aspects in the creative use of mobile, interactive, networked devices to 'craft' media assemblages in which often, processes are more important than artefacts and which make participants/user-creators aware of being themselves entangled in multifaceted biological, psychological, physical, social and cultural contexts. The nucleus hereby resides in the intertwining of emplaced interaction in hyperglocal contexts, the idea of focussed perception and perspective taking, and foremost the potential for networked|networking (Wiehl 2019). The hypothesis runs that due to their specific affordances, especially co-creative media practices can contribute to a shift from mere matters of fact in climate communication to matters of concern (Latour 2004) and – ultimately hopefully – matters of care (La Puig de Bellacasa 2017). The idea is to mobilize (co-)creative participants not only to witness climate change and document the most often invisible shifts in their surroundings, but rather to invite them to engage in local and at the same global interventions and thus to rediscover collective responsibilities and communal agency in this situation. Through the lens of these features, different strategies of how to mobilize user-participants will be discussed, focussing on different venues to encourage an empathetic idea of local as well global consciousness, care and emotional engagement – an approach which goes beyond top-down communication of (scientific) facts but which encourages creative communal action-taking. As paradigmatic projects, we will examine The Disaster Resilience Journal (2014) and ISeeChange (2019) – both of them being multilayered configurations building on various activities around 'doing documentary'. It will be discussed how interdependent entanglements of agents in these two projects aim at catalysing meaningful place-based environmental engagement, including community-based citizen-science driven action-taking but at the same time experiences that go beyond cognitive understanding.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.015 | 0.027 |
| Scholarly communication | 0.022 | 0.019 |
| Open science | 0.002 | 0.021 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".