A Review of the Ethical Codes in the Profession of Conservation of Historical Relics
Bibliographic record
Abstract
The conservation of historical artifacts, as a profession that closely linked to the prevailing history and culture in individual and social life, carries a heavy mission and responsibility towards the creators and owners of these artifacts in the past, present, and future.On the other hand, despite the diversity of thoughts, desires, and approaches, it is an activity that must be conducted within a specific scientific and theoretical framework.Conservators, while adhering to this specified framework, must also consider particular ethical considerations.These considerations are crucial not only for maintaining the quality and clarity of conservation activities for the conservators and their audience but also for making them aware of the ethical consequences of their actions and the ethical standards used to evaluate those actions.These ethical considerations have been variously addressed in the theories and documents related to the conservation and restoration field as the profession has evolved.In this research, an attempt is made to provide definitions and basic concepts related to the topic, alongside examples of ethical codes in the conservation profession with an interpretive approach.The aim of this research is to understand the role and function of ethics in conservation and restoration processes and some ethical considerations when dealing with artifacts.To this end, To this end, ethical conduct documents prepared by several conservation institutions, such as the American Institute for Conservation (AIC), the Canadian Association for Conservation (CAC), the International Council of Museums Committee for Conservation (ICOM-CC), the European Confederation of Conservator-Restorers' Organisations (ECCO), and the United Kingdom Institute for Conservation (UKIC), have been examined as case studies.The reviews revealed that these documents strive to define the boundaries of professional conservation, with the primary goal of protecting public assets and gaining public trust and social approval for the profession.Therefore, they focus on the interests of humanity rather than professional interests and develop conservation ethics based on attention to universal values and a focus on cultural values.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".