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Record W4246915224 · doi:10.1002/asi.20675

The impact of youth's use of the internet on their use of the public library

2007· article· en· W4246915224 on OpenAlexaboutno aff
George D’Elia, June Abbas, Kay Bishop, Eleanor Jo Rodger

Bibliographic record

VenueJournal of the American Society for Information Science and Technology · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
FundersAssociation for Library and Information Science EducationPew Charitable Trusts
KeywordsThe InternetInternet accessRecreationQuarter (Canadian coin)Public accessInternet privacyBusinessPolitical scienceWorld Wide WebComputer scienceGeography

Abstract

fetched live from OpenAlex

Abstract A survey of 4,032 youth in grades 5 through 12 was conducted to determine the impact youth's use of the Internet was having on their use of the public library. Results indicated that 100% of the youth had access to the Internet from one or more locations, and that although one quarter of the youth accessed the Internet at the public library, the public library was the least frequently used source of Internet access. For youth without Internet access at home, the public library was also the least used alternate source of access. Approximately 69% of the youth reported that they had visited a public library during the school year. Having Internet access at home did not affect whether or not youth visited the library however, Internet access at home appears to have affected the frequency with which youth visit the library. Youth without Internet access at home visited the library more frequently, whereas youth with Internet access at home visited the library less frequently. Use of the Internet also appeared to have diminished youth's need to use the public library as a source of personal information however, use of the Internet appeared not to have affected their use of the public library for school work or for recreation. Among youth, use of both the Internet and the public library appear to be complementary activities.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models agreeAgreement compares identical category sets and study designs across arms.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.043
GPT teacher head0.308
Teacher spread0.265 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations12
Published2007
Admission routes1
Has abstractyes

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