<i>Project [Murmur] and the Performativity of Space</i>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In The Practice of Everyday Life, Michel de Certeau asserts that “what the map cuts up, the story cuts across” (129), stressing the role of a nomadic, storytelling subject in the production of space. The [murmur] project, an experiment in site-specific psychogeography and cybercartography (http://murmurtoronto.ca), explores the relationship between spaces represented cartographically, spaces lived through audience explorations, and the (imaginary) representational spaces generated through oral histories. The sitespecific stories of participants, delivered by cell phone to audience members at specially marked sites, transform reified places into lived spaces that the user can explore and interpret in real time. [murmur] situates the subject simultaneously at the site of the referent and within an imaginary (aural) space of representation, compelling the audience member to reconcile the two. In exploring the representational frame (and its boundaries), the user becomes an active participant in the semiotic processes of spatial production. Thus, [murmur] can be seen as an important intervention: rather than accepting the reified city as a given, or acting on the subject in a way that limits semiosis, the places the project constructs through discourse encourage the emergence (or becoming) of a nomadic subject who produces new meanings through a process of spatial dialectics. Equally important, [murmur] foregrounds the need to rethink cities not as sets of buildings and objects, but rather as places where historical and subjective information is latent in every materiality and, similarly, where the materiality of city is seen as the result of the performative processes of spatial production.
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.
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it