Bibliographic record
Abstract
New technologies and audience data are transforming local, legacy newsrooms that are built on tradition but adjusting practice to keep pace with a rapidly changing media landscape, deep revenue cuts, and shifting means of content consumption. Through ethnographic research, this chapter explores how digital production and the burgeoning use of metrics and analytics are changing the fabric of what makes local, local, along with challenging definitions of journalism and the traditional values associated with news. It compares and contrasts practice in two newsrooms: Canada’s The Hamilton Spectator, run under the umbrella of Metroland Media, and the Bournemouth Daily Echo in England, operated within the Newsquest group. Can the use of analytics give fresh insight into the audience and help save local newspapers from their seemingly steady decline? Or is a lack of time and training to use analytics effectively contributing to an erosion of journalistic values? The chapter aims to further understanding of the effects of digital production, how a growing reliance on metrics and analytics is impacting editorial decision-making, and how effective use of audience data might help local newsrooms survive.
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 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".