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Record W2285924110

ARE THE NEEDS AND CONCERNS OF COMPUTER USERS AS IDENTIFIED THROUGH A PARTICIPATORY ERGONOMIC APPROACH REFLECTED IN THE CONTENT OF A TYPICAL OCCUPATIONAL THERAPY OFFICE ERGONOMIC EDUCATIONAL PRESENTATION

2012· article· en· W2285924110 on OpenAlexvenueno aff
Jill Phillips

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2012
Typearticle
Languageen
FieldHealth Professions
TopicOccupational health in dentistry
Canadian institutionsnot available
Fundersnot available
KeywordsPresentation (obstetrics)Occupational therapyCitizen journalismHuman factors and ergonomicsParticipatory ergonomicsPsychologyMedical educationEngineeringMedicineComputer sciencePoison controlPhysical therapyMedical emergencyWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

Using a participatory ergonomic approach, this research explored if the self-identified needs and concerns of computer users are reflected in a typical occupational therapy office ergonomic educational presentation. While the study confirmed that generally the needs of computer users are met, the topics that the participants found to be most relevant were workstation layout and equipment adjustment. This study also revealed that knowledge transfer/translation is an important factor and that clinicians should consider involving clients at the initial development phase of client educational information. The study participants preferred ergonomic information to be communicated in a brief manner, emphasizing action-oriented information and avoiding medical references. They wanted client information to employ humour, colour and lots of “pizzazz.” The manner in which clinical information is communicated to clients is vital for effective client education.

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)0.008
metaresearch head score (Gemma)0.027
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.125
GPT teacher head0.350
Teacher spread0.225 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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Same venueLibrary and Archives Canada (Government of Canada)Same topicOccupational health in dentistryFrench-language works237,207