Digital Ethnography as Planning Praxis: An Experiment with Film as Social Research, Community Engagement and Policy Dialogue
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
Stories and storytelling are part of a post-positivist paradigm of inquiry influenced by phenomenology, ethnography and narrative analysis, along with the evolution of visual methods in social research. New information and communication technologies today provide the opportunity to explore storytelling through multimedia, including video/filmmaking, in what we describe as digital ethnography. While there has been a tradition in the planning field of using film for advocacy purposes since the 1920s, we argue for a new direction informed by collaborative planning theory and situational ethics. This paper reports on a three-year, three-stage research project in which we experimented with the use of film as a mode of inquiry, a form of meaning making, a way of knowing, and a means of provoking public dialogue around planning and policy issues (in this case, community development and the social integration of immigrants). We explored the expressive as well as analytical possibilities of film in conducting social research and provoking community engagement and dialogue, taking advantage of the aesthetic and involving dimensions of film as narrative. The research question was a socio-political one: how do immigrants become integrated into a specific social fabric, and how do they acquire a sense of belonging? The site of the research was a culturally diverse neighbourhood in the city of Vancouver, and the specific focus was a place-based local institution, the Collingwood Neighbourhood House. The paper concludes with critical reflections on the use of film in this research project, focusing on ethical issues, power relationships, insider/outsider dilemmas, and reciprocity.
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 | 0.049 | 0.055 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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