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Record W4367840002 · doi:10.32920/22748633.v1

The Local News Map: Tell us what is happening to local news in your community

2023· preprint· en· W4367840002 on OpenAlexaboutno aff
April Lindgren, Jon Corbett

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldComputer Science
TopicWeb Data Mining and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperClosing (real estate)HappeningService (business)News bureauLocal historyLocal communityAdvertisingPolitical scienceHistoryMedia studiesGeographyBusinessSociologyLawMarketing

Abstract

fetched live from OpenAlex

<p>The Local News Map is a crowd-sourced resource that tracks what is happening to local newspapers, broadcast outlets and online/digital news sources in places across Canada. It displays changes to service at local news outlets, including information on the launch/closing of local news organizations along with service increases/reductions going back to 2008. Every two months, a new report summarizing events and the raw data is published <a href="https://localnewsresearchproject.ca/category/local-news-map-data/" target="_blank">here.</a></p>

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesOpen science
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.863
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0060.013
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.075
GPT teacher head0.310
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designSimulation or modeling
Domainnot available
GenreMethods

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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