Hunt Institute for Botanical Documentation
A Research Division of Carnegie Mellon University

Hunt Institute Archives Text Discovery Platform

Search a large and growing portion of our online collections, including handwritten documents.
PROTOTYPE

This prototype uses state-of-the-art artificial intelligence, including a vision-language model (VLM) capable of reading handwritten documents as well as typed and printed text, to create searchable transcriptions of digitized materials in the Hunt Institute Archives. This makes it possible to search the textual contents of individual pages, including material that may not be described in the archival catalog.

Use Keyword search for specific words, names, dates, scientific names, or phrases. Try Semantic search (experimental) to describe a topic, question, or kind of material when you do not know the exact wording used in the documents.

About the AI-generated transcriptions

The transcriptions are generated automatically from page images and may contain errors, especially with difficult handwriting, unusual names, multiple languages, image-quality problems, or complex layouts. They are intended primarily as a discovery aid rather than authoritative transcriptions.

Each result provides the generated transcription and links to the original digitized material and associated archival description so that readings can be checked against the source. The transcription workflow uses AI models run locally by the Hunt Institute.

About Keyword and Semantic search

Keyword search is the default and matches the wording in the transcriptions. Results contain all your terms. Use quotes for an exact phrase. Substring matching is supported, so aceae can find plant-family names ending in -aceae.

Semantic search (experimental) is useful when you know what kind of material you are looking for but do not know the words used in the documents. It ranks transcribed passages by similarity of meaning, so relevant results may not contain the exact words in your query.

Semantic queries can be broad research topics, descriptions of activities or relationships, or natural-language questions. For example:

Semantic search is not a chatbot: a question is used as a search query, and the system returns archival passages that appear conceptually related to it rather than generating an answer or summary. Short descriptions and ordinary research questions generally work better than lists of disconnected keywords. Quotation marks have no special meaning in Semantic mode. Cross-language matching may work in some cases, but it should not be treated as translation.

Keyword and Semantic search are complementary. Keyword search lets you require particular wording; Semantic search can surface differently worded passages about the same subject. Depending on the research question, trying both can reveal different useful material.

Open a result: use the prominent page-and-transcription link to see the metadata, PDF, and full transcription. Keyword-search terms are highlighted in the transcription.

Archives Collections Database (ArchivesSpace): the Collection, Item/Folder, and Digital Object links open the corresponding archival records. Collection-level dates describe the collection as a whole, not necessarily the specific item or page.

If a PDF does not load: on the detail page, use the Digital Object link, click “Go to file” in ArchivesSpace, and navigate to the page number shown here.

Current limitations
  • Automated transcriptions can contain missing or incorrect text or unintended repetition. Difficult handwriting, image quality, unusual layouts, and multiple languages can reduce accuracy. Always consult the original page image when an exact reading matters.
  • Semantic search remains experimental. Its rankings are an additional discovery aid, not a complete or definitive set of relevant results, and highly ranked pages can sometimes be only broadly related.
  • This is an active prototype. Search coverage, transcriptions, functionality, and the interface may continue to change as additional archival material is processed and the system is improved.

← Back to results

Page 52 · DO #962 · 319_Love_Bx1FF7r

Collection
Áskell Löve (1916–1994) papers
Item/Folder
"Outlines for Books and Articles to be Published but Never Completed" (3 of 3)
Digital Object
DO #962, page 52
Collection-level dates
1950–1987
Open PDF at page 52 ↗

Page transcription

Preface, 4

taxonomist has been revealed even more dramatically by the numerous studies of wild species under controlled garden conditions, beginning with the work of Turesson which established the ectype concept. Most species are now known to represent complex systems of genetic variation, both within and between populations. This variation is an orderly pattern, reflecting the needs of the habitats which the species occupies. Differences between species are of an equally complex nature. Some of the most significant of these cannot be recognized at all by looking at the species concerned, however minutely. They are revealed only when the chromosomes of two species are placed together in the cells of a hybrid, and there show that they cannot work together to form normal adult structures or viable gametes. Finally, garden studies within species have shown that such characteristics as the ability or inability of a plant to produce vigorous offspring through self fertilization may characteristics of reproductive biology, which by themselves have little to do with outward appearance, are nevertheless of great importance in determining evolutionary relationships. We know now that until we have determined whether a race is usually self fertilized, or whether it requires cross fertilization to produce vigorous offspring, we cannot fully understand its relationships. Moreover, in certain groups of plants the relationship between populations is dominated entirely by the fact that they have given up sexual reproduction partly or entirely and have substituted for it parthenogenesis or some other type of asexual reproduction.

When we consider the meaning of all of these discoveries to the daily tasks as well as the outlook and purpose of systematic biology, we are driven to this conclusion. If the primary