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Record W2171633351 · doi:10.1109/hicss.2008.195

Hybrid RFID-GPS Real-Time Location System for Human Resources: Development, Impacts and Perspectives

2008· article· en· W2171633351 on OpenAlex
Manon G. Guillemette, Isabelle Fontaine, Claude Caron

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMobile Crowdsensing and Crowdsourcing
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsWorkgroupGlobal Positioning SystemReal-time locating systemRadio-frequency identificationComputer scienceContext (archaeology)Identification (biology)Process (computing)Assisted GPSComputer securityReal-time computingTelecommunicationsGeography

Abstract

fetched live from OpenAlex

Radio frequency identification (RFID), including real-time location systems (RTLS,) and Global Positioning Systems (GPS) are technologies that have evolved considerably in the past few years. These technologies have the potential to provide a means by which organizations can follow employees in real time. However, this permanent surveillance might have unpredictable impacts on the employee and on the organization itself. We followed the systems development research process to build a hybrid RFID-GPS system, allowing for the real-time location of human resources both indoors and outdoors. We tested this system in the security service of a Canadian university and we explored the impacts on the workgroup and its employees. Our results showed that this kind of system can work in a genuine context, and that it has distinct impacts on the individual and on the organization which are usually not observed with more traditional information systems.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score0.569

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.235
Teacher spread0.211 · 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

Quick stats

Citations33
Published2008
Admission routes2
Has abstractyes

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