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Record W4246539726 · doi:10.32920/ryerson.14638782

Local news poverty in Canadian communities: presentation to the House of Commons Heritage Committee

2021· preprint· en· W4246539726 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldComputer Science
TopicTechnology and Security Systems
Canadian institutionsRoyal Roads UniversityToronto Metropolitan University
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of British ColumbiaMitacs
KeywordsCommissionKnightScrutinyPolitical scienceDemocracyPublic administrationCommonsLocal communityJournalismCONTESTPublic relationsPoliticsLaw

Abstract

fetched live from OpenAlex

This is an updated version of the brief submitted to the House of Commons Heritage Committee on Oct. 6, 2016 as part of the committee’s study on Communities and Local Media. Residents of Canada’s largest municipalities can obtain news from multiple sources, but it’s a different story elsewhere in the country. People who live in smaller cities and towns, suburban communities and rural areas have fewer options to begin with, and in recent years their choices have become even more limited. Traditional news outlets have been hit by cutbacks, consolidations and closures, while digital first news sites often struggle to stay afloat. Does any of this matter? The answer is “yes,” according to a report by the U.S.-based Knight Commission on the Information Needs of Communities in a Democracy. The commission’s report concluded that information is “as vital to the healthy functioning of communities as clean air, safe streets, good schools, and public health (Knight Commission, 2009, xiii).” It went on to argue that in addition to helping communities develop a sense of connectedness, access to information is essential in terms of holding public officials to account and making it possible for community members to work together to solve problems. While local journalism is the subject of increasingly intensive scrutiny by scholars in the United States – Duke University’s Philip Napoli, for instance, is launching a project that will investigate the state of local news in 100 U.S. communities (Napoli, 2016) - there is much we don’t know about the Canadian situation and the extent to which the critical information needs of rural areas, towns and smaller cities in particular are being addressed. As Carleton University professor Dwayne Winseck warned committee members during his testimony earlier this year, there are “severe” shortages of information on changes to the media landscape overall. Moreover, he cautioned, there are “a lot of opinions and little data to act upon” (Standing Committee on Canadian Heritage 2016, 5) .

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.561
Threshold uncertainty score0.597

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0030.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.024
GPT teacher head0.252
Teacher spread0.228 · 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

Quick stats

Citations1
Published2021
Admission routes3
Has abstractyes

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