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Record W1995028086 · doi:10.1080/14427591.2009.9686640

Cyberspace, real place: Thoughts on doing in contemporary occupations

2009· article· en· W1995028086 on OpenAlexaff
Daniel Fok, Janice M. Polgar, Lynn Shaw, Robert Luke, Angela Mandich

Bibliographic record

VenueJournal of Occupational Science · 2009
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsGeorge Brown CollegeWestern University
Fundersnot available
KeywordsCyberspaceInformation and Communications TechnologyThe InternetSociologyLaptopPhenomenonObject (grammar)Space (punctuation)Internet privacyInclusion (mineral)EpistemologyComputer scienceWorld Wide WebSocial science

Abstract

fetched live from OpenAlex

Today, the distinction between cyberspace and real space represents a false dichotomy. Wireless laptop computers, personal digital assistant devices and similar emergent information and communication technology (ICT) objects, along with the cyberspace/ internet information they mediate, may be intervening between what and how we are able to ‘do’ in real places. This phenomenon is seen in many contemporary occupations in the westernized world and intensifies the connections among occupation, place, and the internet. In this article, we begin to examine this connection, starting from Hocking's person‐object interaction model. Advocating the addition of an informational domain to objects in the model, we discuss its application to internet informational mediating ICT objects. Examples are used to illustrate the complexities of introducing ICT objects and the information they mediate, to a place or across different places, and how their inclusion in occupational scientists’ conscious consideration may contribute to the discipline's broader understanding of many contemporary occupations.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0120.067
Scholarly communication0.0140.012
Open science0.0010.004
Research integrity0.0050.004
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 head0.207
GPT teacher head0.553
Teacher spread0.347 · 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 designTheoretical or conceptual
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

Citations6
Published2009
Admission routes1
Has abstractyes

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