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Record W4402189413 · doi:10.32920/26866438.v1

Closing the Digital Divide With Community Tech

2024· preprint· en· W4402189413 on OpenAlexaffabout
Benjamin Dunlop

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsClosing (real estate)Digital divideBusinessComputer scienceTelecommunicationsWorld Wide WebThe InternetFinance

Abstract

fetched live from OpenAlex

Citizens' digital access, affordability, and digital ability are now inseparable from fulsome civic life. This study regards community technology initiatives in various forms, sizes, and scopes as resources for urban planners to learn about digital divide solutions. The COVID-19 pandemic's lockdowns highlighted new and existing gaps in government service delivery, renewing a push to ensure digital equity. Research goals aim to understand the roles of non-market initiatives by examining the levels of the digital divide they engage with and what enables them to successfully do so. The regulatory environment of telecommunications in Canada has created an environment where strong oligopolies exist as one of the most detrimental factors to reaching universal, ubiquitous digital inclusion. The study recommends implementing affordability and inclusion metrics into service objectives in recognition of potential oversights or omissions that favor industry.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.007
Scholarly communication0.0160.015
Open science0.0010.018
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0420.004

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 head0.019
GPT teacher head0.243
Teacher spread0.223 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2024
Admission routes2
Has abstractyes

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