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Record W2511515571 · doi:10.1108/jcre-10-2015-0030

Public spaces as workplace for mobile knowledge workers

2016· article· en· W2511515571 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.

Bibliographic record

VenueJournal of Corporate Real Estate · 2016
Typearticle
Languageen
FieldPsychology
TopicFacilities and Workplace Management
Canadian institutionsAthabasca University
Fundersnot available
KeywordsWork (physics)Public relationsAnticipation (artificial intelligence)Knowledge managementPublic spaceThe InternetSpace (punctuation)BusinessComputer sciencePolitical scienceEngineeringWorld Wide WebArchitectural engineering

Abstract

fetched live from OpenAlex

Purpose This purpose of this paper is to review the relationships between the physical and social characteristics of public and semi-public spaces and work behaviors of mobile knowledge workers employed by organizations. Design/methodology/approach This is a literature review of research from several disciplines on teleworking from multiple settings, particularly in public and semi-public spaces. Findings This review suggests that both the physical and social characteristics of public and semi-public spaces can constrain the cognitive work and communication of knowledge workers. The physical characteristics include amount of space, layout, ambient conditions and internet and Wi-Fi connectivity. To be effective, mobile workers perform different tasks at different workplaces that support those specific work tasks. Planning and coordinating work tasks for different workplaces is time-consuming and requires anticipation of constraints and effort to overcome obstacles encountered in these places. Research limitations/implications Little empirical research focusing on these new workplaces is available. There is much need for future research that uses larger, representative samples and a diversity of methods. As this paper is based on a review of a small number of studies currently available in peer-reviewed journals written in English, the findings should be considered tentative. Practical implications Understanding how the design of the physical workplace, work processes, organizational support and its interface with the virtual space support successful mobile work is crucial for organizations. Corporate real estate and facility managers of public and semi-public spaces should support mobile workers’ needs for internet and Wi-Fi connectivity and provide separate spaces for cognitive work and private business conversations. Originality/value This paper extends the research about teleworking from home to working in public and semi-public spaces.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.724
Threshold uncertainty score0.766

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.074
GPT teacher head0.319
Teacher spread0.246 · 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