Exploring the potential for crowdsourced spatial information to inform debate related to the changing Canadian local news landscape
Bibliographic record
Abstract
This paper investigates an applied participatory mapping research project that enables members of the public to crowdsource information for Canada’s first community spatial database documenting contemporary changes to local news outlets. This data is presented on the Local News Map, which locates where news organizations are closing or cutting back services and where new outlets are launched or services are increased. The tool, released in mid-2016 by Canadian academics, is a web-based, interactive platform that displays map markers and descriptive information about changes to local television, radio, online sites and newspapers dating from 2008 to the present. Map filters allow users to select and view specific information about these changes. We explore the impact of the project, demonstrating that the map has enriched the public sphere by generating robust empirical data on news outlets that have shut down or launched or increased/decreased service in their communities. Specifically, we found strong and ongoing demand from journalists who use the platform’s data to provide context for stories about the ongoing disruption in the local news sector. We also identify other impact indicators for further investigation.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".