Sustainability in Dentistry: A Multifaceted Approach Needed
Bibliographic record
Abstract
This article provides an introduction to environmentally sustainable dentistry and offers perspectives on managing drivers to reduce carbon emissions and make dentistry more environmentally sustainable. A sustainable world must meet the needs of the present without compromising the ability of future generations to meet their own needs. Global commitment to sustainability and demands for a sustainable world are growing. Within dentistry, travel creates the highest carbon emissions and also contributes to human health damage. Internally, there are a number of ways to reduce impact by decreasing travel and energy use, as well as carefully considering the types of items purchased (and how they are disposed of). Larger dental organizations can influence their suppliers and industry by choosing to purchase from sustainable companies with environmentally friendly products. From an external driver perspective policy, guidance and research are essential. Governments need to reevaluate decontamination policy from an environmental perspective. Decontamination documents need revision to consider both planetary and public health. Dental organizations need to support dental teams in this area. Insurance providers and health care purchasers should review policies to influence the sustainability of dental providers. Sustainability education needs to be considered as part of the curriculum of undergraduate and postgraduate students. Guidance could also be developed for the dental industry to produce sustainable products. Research needs to be prioritized. Identifying hot spots or areas of high environmental contributions using other assessments such as life cycle analysis (LCA) would allow dentistry to identify products or practices that have a disproportionate adverse impact on the environment and might be prioritized for change. This should include an analysis of single-use instruments, chemicals, and products. Building research capacity by training students and creating virtual or physical centers for sustainability is essential. Financial support is needed for priority areas of research.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".