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 36 · DO #961 · 319_Love_Bx1FF6r

Collection
Áskell Löve (1916–1994) papers
Item/Folder
"Outlines for Books and Articles to be Published but Never Completed" (2 of 3) , 1969, n.d.
Digital Object
DO #961, page 36
Collection-level dates
1950–1987
Open PDF at page 36 ↗

Page transcription

2.

In other years there may be other basic n's, in Chrysanthemum
x = 9, and x this genus, species and hybrids we know with all
multiples of 9 from 18 to 90. In the potato and tobacco genus
(Stamen and Nicotiana) x = 12, and the scutic n's are, for instance,
24, 48 and 72. In the apple genus, Malus x = 13; in poplars and willows
(Populus and Salix) x = 19. Most basic n's, however, are lower than 12,
and higher n's are usually secondary.

The occurrence of a multiple chromosome n'ts series is known
as polyploidy (Winkler 1916) and it represents a highly interesting regularity.
This phenomenon occurs in a vast majority of higher plants known; it is more
frequent under extreme conditions, and is typical of many ornamental plants.
In the wheat, the diploid wheats are most primitive and of little use at present.
In the cereals, the diploids (Avena) and the tetraploids (Triticum) are the Mediterranean and Egyptian
cereals, whereas the hexaploids are the modern breadwheats (Triticum).
In several other cases, for instance in oats (Avena), we meet with similar
conditions. As a rule, those species in a polyploid series that have the highest
chromosome numbers are also the most valuable as cultivated plants. Besides
wheat, and oats, this is true for potatoes, tobacco, white clover, alfalfa,
timothy, Kentucky bluegrass, oats, orchard grass, and the banana, apple, orange, sugarcane,
and figs. On the other hand, rye, barley, and beets have low, monoploid
or diploid chromosome n'ts.

It is known that most genera, which are the subject of presently
living higher plants, are highly polyploid, and so are also the mosses, whereas
polyploidy is quite rare in the conifers. In pines, the phenomenon
is also frequent, though it is often masked by chromosome units
concerned with sex.

The origin of a polyploid series has been elucidated & explained
in investigation. It is known, for instance, that species representing high levels in
a series have arisen from older species with lower chromosome n'ts. It has also
been found that polyploids may be of three different kinds, which we designate
as autopolyploidy, allopolyploidy and triploidy. With autopolyploidy we are
concerned with a purely quantitative increase in the number of chromosomes
sets, that originate from the same species or from a hybrid between two races.
Allopolyploidy involves a summation of chromosome sets from different species.
Whereas autopolyploidy signifies an increase in the number of chromosomes
within a cell. In connection with autopolyploidy, it may also be appropriate
to mention triploidy, which is the occurrence of individuals with half the
number of chromosomes of the species in question. It may be best to
discuss these phenomena separately each in its turn.