Bakhtinian dialogism as framework for participant architectural research
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
This paper examines a framework for participant architectural research inspired by Bakhtinian dialogism. It does so by testing this approach on a current study of the recently completed Barking Town Square in Barking, England, in the context of urban regeneration in a London suburb struggling with issues of identity. A dialogic framework is derived from two principles of dialogism: entities are described by relations of parts rather than homogeneous wholes; and identities constantly change with respect to the uniqueness of a situation. For the architectural project, this means that participants and objects are defined by their relation with others in the project and that their identity changes over time as these relations evolve. It also means understanding architecture as a complex social process rather than a “thing in itself ”. Finally, the approach assumes the presence of an embodied subject and identifies the researcher as a participant in the architectural process. Participant architectural research therefore implies that research consciously engages in the continuing and dialogic process of giving meaning to a place. Empirical data has been collected using socio-anthropological fieldwork methods of interviewing and participant-observation for the last year and a half. This approach, more attuned to the analysis of social and cultural relations and the “Other”, complements the necessary engagement implied by a dialogic framework.
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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| 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