Bibliographic record
Abstract
In an era marked by geopolitical conflicts and territorial disputes, the concept of space becomes central to shaping perceptions of community and challenging traditional narratives. This study explores interactive documentaries that unfold spatial narratives, offering multi-perspective stories that encourage audiences to question singular interpretations and foster empathetic connections. Focusing on the interactive documentaries Refugee Republic (Visser, Rothuizen, and Van Tol 2014) and The World in Ten Blocks (Francoeur and Uppal 2015), both centered on the representation of communities in specific spatial contexts, this study employs a theoretical framework drawing inspiration from Michel De Certeau's concept of Spatial Stories (1984), along with a multimodal threefold approach analyzing form, content, and interaction. While De Certeau's concept of Spatial Stories, provides a framework to analyze spatial navigation structures through the visual representation of space, the multimodal analysis focuses on the diversity of elements the audience find and engage with throughout the way. This analysis unpacks the intricate relationships between the formal aspects of the documentaries, their portrayals of enclosed communities, and the interactive elements that guide users through these spaces. Overall, by portraying community-based stories, these interactive narratives serve as conduits for diverse lived experiences, embracing complexity and celebrating cultural diversity. Additionally, these interactive documentaries explore a polyphonic approach, as conceptualized by Aston and Odorico (2018), emphasizing how the interactive form facilitates uncertain interactions and reinforces a virtual sense of place and belonging. Ultimately, this research highlights the potential of interactive documentaries to transform traditional storytelling, providing a platform for communities to share their stories, navigate their spaces, and foster a sense of connection among diverse audiences within the virtual realm.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".