Large-scale Projection and the (New) New Monumentality
Bibliographic record
Abstract
The use of the moving image in public space extends the techniques of cinema — namely superimposition, montage, and apparatus/dispositif — threatening, on one end of the spectrum, to dehistoricise and distract, and promising to provide new narrative and associative possibilities on the other. These techniques also serve as helpful tools for analysis and practice drawn from cinema studies that can be applied to examples of the moving image in public space. Case studies and creative works are presented in order to examine and illustrate the ways that public projections extend the effect of superimposition through the rehistoricisation of space, expand the diegetic boundaries of the moving image through spatial montage, and enact new possibilities for the cinematic apparatus and dispositif through scale and interaction in order to reframe and democratise historical narratives and scripts of urban behaviour. Keywords: architecture, dispositif, montage, superimposition, digital projection Moving Images In the summer of 2008, Quebec City became the site of the world's largest architectural projection: a 45-min long projection-mapped spectacle covering 400 years of settlement, development, and culture dating back to when the city was first founded as a French colony. For approximately 60 nights every summer, from 2008 until 2012, street lights were dimmed and people would gather on the docks, along the ramparts, or in hotel rooms around the city to witness an iconic building, the massive bunge grain silos in Quebec City's harbour, tell the story of this unesco world heritage site (UNESCO 2014). With each screening attracting about 10,000 spectators, Le Moulin à Images ( The Image Mill ) by director Robert Lepage and his team at Ex Machina (see Figure 2-1 and Figure 2-2) was seen by about half a million people every year (Dubé 2012, 187). The Quartier des spectacles in Montreal represents another approach to the presentation of historical material in public space through large-scale projection. One particular installation, McLarena (2014) (see Figure 2-3), an interactive public projection commissioned by the National Film Board of Canada, invited participants to mimic the choreography of the dancer that appears in renowned Canadian filmmaker Norman McLaren's Canon (1964) in a mobile recording unit located in front of the projection.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.022 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".