Emplacing Time: Photography, Location, and the Cinematic Pilgrimage
Bibliographic record
Abstract
Cinema, arguably the time-based medium most synonymous with modernity, is also an art form of place: cinema records place in time and, in the best circumstances, stores it through time. If, as Michel de Certeau remarked, “space is a practiced place,” then cinema is the memory of that practice; it is the archive of that transformation. Cinema, in other words, “emplaces time.” Moreover, because of its physical properties, film is also an archival object whose very existence is challenged by the passing of time. In recent years, the ways in which cinema emplaces time have become the subject of a dual contemplation on the part of a generation of photographers whose projects re-photograph cinema’s loci, from movie palaces to film locations. This article investigates the relationship between film the work of three “cinematic pilgrims”: British artist Michael Lightborne, whose 2012 installation Interval (After Intervals) included photographs of the locations for Peter Greenaway’s 1969 short film Intervals alongside the original film; Christopher Moloney’s ongoing project FILMography, in which the Canadian photographer travels the world bringing printed reproductions of film stills to the sites where they were originally shot and then re-photographs them in situ; and the travel blog Fangirl Quest by the Finnish Tiia Öhman and Satu Walden, a photographer and a travel expert, respectively, who re-photograph a location while displaying the related movie scene on a tablet practice (a practice they call “sceneframing”). These projects underscore cinema’s innate relationship with place, while they also highlight the changes that occurred in the time that intervened since production, revealing the instability of the filmic object as one of time as well as in time.
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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 | 0.000 | 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 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".