Conservation Guidelines for Invertebrate Paleontology Collections
Bibliographic record
Abstract
THE TERM CONSERVATION refers to the whole subject of the care and treatment of valuable materials. Its definition is two-fold: (1) the control of the environment to minimize the decay of artifacts and materials; and (2) treatment of materials to arrest decay and to stabilize them against further deterioration. Restoration is the continuation of the treatment to return an object without falsification to a state in which it can be displayed (Howie, 1992; series editor's preface). The vast number of specimens in invertebrate paleontology collections makes treatment or restoration impractical or even impossible except for remarkable display specimens. It is possible, however, to control the environment, both physical and procedural, in which collections are maintained. It is easier to prevent deterioration than to fix it once it has occurred. This is the principle of preventive conservation. There is a general misconception, held by many paleontologists, that there are no conservation concerns with paleontology collections, or, if any, the concerns are minor. This unfortunately is not the case; although fossils and their rock matrix have lasted hundreds of millions of years in the earth, once excavated they are subject to many forces of destruction (Crowther and Collins, 1987). Problems in collections occur as a result of many different factors: inappropriate storage environment; inappropriate application of a “universal” treatment; or unstable materials used in preparation and treatment. Minerals such as pyrite may oxidize; shales crack and delaminate. Prepared specimens may include introduced materials such as consolidants and glues that themselves are subject to deterioration. Research into conservation of natural history materials has grown significantly over the past two decades. This paper will emphasize preventive conservation principles to address some of the conservation concerns particularly relevant to paleontological specimens and suggest some practical ways of reducing the risks to the collections.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".