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Surgical magnification in dental hygiene practice

2004· article· en· W1966179834 on OpenAlexaff
Susanne Sunell, Lance M. Rucker

Bibliographic record

VenueInternational Journal of Dental Hygiene · 2004
Typearticle
Languageen
FieldHealth Professions
TopicOccupational health in dentistry
Canadian institutionsUniversity of British ColumbiaVancouver Community College
Fundersnot available
KeywordsMedicineMagnificationDentistryHygieneDental EquipmentHealth carePathology

Abstract

fetched live from OpenAlex

The potential for improving the occupational health of dental clinicians has expanded as increasingly sophisticated equipment enters the marketplace, yet there has been little improvement to the ergonomics with which dental hygienists operate. The use of surgical magnification has great potential to increase the quality of dental hygiene clinical care and to support the musculoskeletal health of dental hygienists. Although the research evidence to support a relationship between the use of surgical magnification and increased quality of dental hygiene care is extrapolated from parallel studies in dentistry, specific dental hygiene studies suggest that the integration of surgical magnification would be helpful in reducing the incidence of musculoskeletal symptoms experienced by dental hygienists. This is not to suggest that the integration of surgical magnification is a panacea for the musculoskeletal problems experienced by dental hygienists. In fact, improperly selected or adjusted surgical magnification systems can promote positions that place clinicians at increased risk for such problems. Clinicians must first determine the optimal working position that supports their musculoskeletal health and then select magnification systems that will support that position. The working distance, depth of field and optical declination angle of the chosen system must correspond to the musculoskeletal needs of the clinician.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.051
Threshold uncertainty score0.817

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.042
GPT teacher head0.469
Teacher spread0.426 · 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 teacher head, not a consensus.

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

Citations38
Published2004
Admission routes1
Has abstractyes

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