Bibliographic record
Abstract
The Future of Houses: Designing for a Circular Economy, is an interactive, educational VR experience born out of a larger project at Curtin University, Western Australia, that seeks to communicate scientific research into ‘Energy Futures’. Produced in a tertiary environment in 2021 by Kath Dooley and collaborators working across disciplines, the project is a single-player VR experience that combines 360-degree video and a computer-generated environment constructed using Unreal Engine. Designed for a user with an interest in ecomedia, The Future of Houses seeks to educate them on the topic of the circular economy (CE), this being a cycle of design and consumption based on the principles of material reuse and recycling. Curtin University researchers have produced significant work in this area through the Curtin University Sustainability Policy Institute (CUSP). One CUSP initiative is the Legacy Living Lab (L3) in Fremantle, Western Australia, a building that was constructed according to CE principles, so as to be easily assembled and dissembled, therefore facilitating recycling and reuse. The Future of Houses harnesses interactive, digital storytelling techniques, resulting in an educative and entertaining VR experience. This begins with a linear 360-degree stereoscopic video component that addresses the viewer in first-person tense, introducing CE concepts and profiling the Legacy Living Lab (L3) as one example of a CE building. After watching the video, the user then has the ability to enter a gamified virtual environment where they can explore the features of L3 as an active participant, gaining further information about sustainable features. Working in tandem, the two components seek to take the user on a transformational journey, drawing upon notions of The Hero’s Journey (Campbell 1949) and Mezirow’s phases of transformational learning in adult education (2006). The result is a project that creates a personal encounter with a CE building, which might influence the user’s future decision making related to house design and construction. A focus on user experience during the development of the work functioned as a means to unite a multidisciplinary team of sustainability researchers and narrative designers, overcoming different vocabularies and approaches to VR development. The facilitator, a screenwriter and director, moved into the territory of game developer when collaborating with a team of VR programmers on the conceptualisation of a project with multiple interactive elements. Bibliography Campbell, Joseph. The Hero with a Thousand Faces. Pantheon Books. 1949. Dooley, Kath (Director/Producer). The Future of Houses: Designing for a Circular Economy. VR experience Curtin University. 2021. Mezirow, Jack. An Overview of Transformative Learning. In Lifelong Learning: Concepts and Contexts. Edited by P. Sutherland & J. Crowther. New York and London: Routledge. 2006.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.124 | 0.032 |
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".