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Record W2001919593 · doi:10.1080/13691180600965633

The interplay of public and private spaces in internet access

2006· article· en· W2001919593 on OpenAlexafffund
Ana Viseu, Andrew Clement, Jane Aspinall, Tracy Kennedy

Bibliographic record

VenueInformation Communication & Society · 2006
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsUniversity of Toronto
FundersGovernment of Canada
KeywordsThe InternetBusinessPrivate spacePublic accessInternet privacyInternet accessComputer scienceWorld Wide WebMarketing

Abstract

fetched live from OpenAlex

The creation of public internet access facilities is one of the principal policy instruments adopted by governments in addressing ‘digital divide’ issues. The lack of plans for ongoing funding, in North America at least, suggests that this mode is regarded mainly as transitional, with private, home-based access being perceived as superior. The assumption apparently is that as domestic internet penetration rates rise, public access facilities will no longer be needed. Central to this issue are the varied characteristics of publicly provided and privately owned access sites and their implications for non-employment internet activities. What are the relative advantages and disadvantages of these two access modes? More fundamentally, how do people conceptualize public and private spaces and how does this perception influence their online activities? Finally, why do people choose one over the other, and how do they navigate between the two? This article attempts to answer these questions by drawing on data generated within the Everyday Internet Project, a ‘neighborhood ethnography’ of internet usage. It argues that the conventional view of private and public access facilities as immiscible, fixed alternatives is inadequate. Rather than ‘pure’ types, they are better understood as offering hybrid spaces whose identity and character are fluid, perceived differently by individuals in light of the activities being performed, life experiences, infrastructure and architecture. The picture emerging from our study is one where public and private access modes intertwine with each other in a variety of ways, their combination offering significant additional value for many users. From a public policy perspective, these findings suggest that if universal access is to be achieved, there is a continuing need for publicly supported broad-spectrum facilities with integrated technical support and learning opportunities, even if domestic penetration rates approach that of the telephone.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.017
Scholarly communication0.0140.014
Open science0.0010.009
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.015
GPT teacher head0.271
Teacher spread0.257 · 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 designQualitative
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

Citations34
Published2006
Admission routes2
Has abstractyes

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