Photographs of newsrooms: From the printing house to open space offices. Analyzing the transformation of workspaces and information production
Bibliographic record
Abstract
Evolving from a small room at the heart of the printing house to a large, mobile open office, the newsroom is a concept that allows us to contemplate the changes that have transformed journalism over the past century. This article proposes a preliminary analysis of a corpus of photographs of media newsrooms in France, Canada, and Belgium at various points in history (from the end of the 19th century up to today). The analysis of newsroom photographs is necessarily multidimensional. It allows us to conduct a socio-historical study of how workplaces are created and structured and how information is produced. It paves the way for an analysis of the media’s modes of representation within the logic of external communication (to establish and promote its brand image through videos or pictures). It also permits us to make inferences while analyzing the organizational and managerial aspects of a company, and reveals the value of examining the objects used by journalists in their trade. Our goal is to clarify the various indicators and avenues for research that emerge from this corpus. This step will allow us to defend a specific approach to analyzing the material dimension of journalism.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".