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 131 · DO #4690 · 231_Rogers_Bx3FF13_r

Collection
David James Rogers (1918–2007) papers
Item/Folder
Development Committee, 1973–1974
Digital Object
DO #4690, page 131
Collection-level dates
1948–1977
Open PDF at page 131 ↗

Page transcription

E.P.O. Biology 331 Field Botany
Fall, 1974-75
Dr. Richardson, Ramaley 115, ex-6378

Date        Topic
September 5 The roots of plant taxonomy: dichotomies and divergences
10          Plant systematics after Darwin
12          Contemporary plant systematics
17          The units of classification
19          Vocabulary of flowering plant characteristics I: roots & stems
24          Vocabulary of flowering plant characteristics II: flowers
26          Vocabulary of flowering plant characteristics III: fruits & seeds
October     1 The concept of characters: analytic, synthetic, quant. & qualitative
            Evolutionary interpretation of characters
            Correlation and discrimination of characters: numerical taxonomy
            Taxonomic evidence I: anatomy and morphology
            Taxonomic evidence II: cytology and cytogenetics
            Taxonomic evidence III: phytochemistry
            The evolutionary basis for classification I: origin of gymnosperms
            The evolutionary basis for classification II: origin of angiosperms
            Phenotypic modification
            Variation within populations
November    5 Populations and environment
            7 Hybridization
            12 Speciation
            14 The herbarium
            19 Data: monographs, revisions, etc.
            21 Systems of angiosperm classification I: Linnaeus
            26 Systems of angiosperm classification II: De Candolle - Engler & Prantl
December    3 Systems of angiosperm classification III: Hutchinson & Bessey
            5 Systems of angiosperm classification IV: Lawrence and contemporaries
            10 Final Lab exam (all afternoon)
            12 Final lecture exam

N.B. There will be a field trip each and every Tuesday (until it snows).
There will be a lab quiz once every two weeks. (You may not miss more than one.)
Floral formulae for major Colorado families will be distributed for memorization each week.
A collection of 50 Colorado plants, all properly identified, is required for completion of the course. (Collected and identified by you.)
Optional Saturday field trips will be arranged.