Bibliographic record
Abstract
This dissertation explores the design of new media technologies for engaging the public on the political aspects of urban sustainability. Focusing on new media’s “responsive aesthetics”, it asks, how are interactive experiences designed to mediate the underlying political culture of sustainability? In order to provide initial answers to this question, this dissertation draws on phenomenological approaches to the philosophy of technology, critical theory and contemporary work in Human-Computer Interaction (HCI), to develop a framework for considering the politicizing aspects of interactive experiences. At its centre is a conception of interactivity as a form of world disclosure that mediates being, perception, action and meaning. The validity and utility of the conceptual framework is demonstrated with a variety of case studies that include Mash Notes, a public interactive installation; MetroQuest, a sustainability decision support tool; public engagement processes facilitated by UBC’s Collaborative for Advanced Landscape Planning (CALP); and several “serious” games. The design of interactive experiences is discussed on the background of what is identified here as an incipient turn to experience in environmental communication. Perceived as a response to the decline of the dominant science communication paradigm, known as the information deficit model, the turn to experience is explained as an appeal to resonant, felt, meaningful aspects of the public’s perception of, and engagement with, environmental issues. It is illustrated by two communicative strategies: the first aims to evoke resonant experiences with politicizing effects, while the second aims to create consonance between the public’s everyday experiences and the issues underpinning political decision-making. The dissertation’s critical analysis of the relations between politics and design aims to provide environmental communicators with a better understanding of the potentials and limitations of designing interactive experiences to engage the public on sustainability, and provide technology designers with a more comprehensive and nuanced conception of the political significance of their creations.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".