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Record W2626429959 · doi:10.15402/esj.v2i2.166

Using Oral History to Assess Community Impact: A Conversation with Beverly C. Tyler, Historian, Three Village Historical Society

2017· article· en· W2626429959 on OpenAlexvenueno aff
Sally Stieglitz, Kristen J. Nyitray

Bibliographic record

VenueEngaged Scholar Journal Community-Engaged Research Teaching and Learning · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicOral History, Memory, Narrative Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsConversationOral historyNarrativeContext (archaeology)ExhibitionSociologyHistoryAsset (computer security)Media studiesLibrary scienceVisual artsArt historyAnthropologyArtLiteratureArchaeologyComputer science

Abstract

fetched live from OpenAlex

This article examines the impact of an acquisition by Special Collections at Stony Brook University Libraries on community relations. The department acquired two historically important letters about the Culper Spy Ring, an intelligence gathering effort on Long Island, New York, initiated by George Washington during the American Revolutionary War. Through a guided conversation with local historian Beverly C. Tyler, the authors gained insights on how the letters influenced the community’s re-telling of history and the development of new exhibitions and programming. The conversation also provided context for the relationship between the university and its neighbors. The narrative developed into a significant asset in its own right, in the form of an oral history that provides evidence of a previously undocumented facet of university-community engagement over time.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.547
metaresearch head score (Gemma)0.181
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.578
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.5470.181
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.5790.001
Scholarly communication0.0030.003
Open science0.0020.001
Research integrity0.0000.522
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.455
GPT teacher head0.410
Teacher spread0.045 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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