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Record W2107269511 · doi:10.1002/asi.23436

Interacting with archival finding aids

2015· article· en· W2107269511 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of the Association for Information Science and Technology · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of British Columbia
KeywordsTask (project management)CLARITYComputer scienceInformation seeking behaviorUsabilityProcess (computing)PsychologyInformation seekingWorld Wide WebHuman–computer interactionInformation retrieval

Abstract

fetched live from OpenAlex

This research aimed to gain a detailed understanding of how genealogists and historians interact with, and make use of, finding aids in print and digital form. The study uses the lens of human information interaction to investigate finding aid use. Data were collected through a lab‐based study of 32 experienced archives' users who completed two tasks with each of two finding aids. Participants were able to carry out the tasks, but they were somewhat challenged by the structure of the finding aid and employed various techniques to cope. Their patterns of interaction differed by task type and they reported higher rates of satisfaction, ease of use, and clarity for the assessment task than the known‐item task. Four common patterns of interaction were identified: top‐down, bottom‐up, interrogative, and opportunistic. Results show how users interact with findings aids and identify features that support and hinder use. This research examines process and performance in addition to outcomes. Results contribute to the archival science literature and also suggest ways to extend models of human information interaction.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.772
Threshold uncertainty score0.237

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.239
Teacher spread0.210 · 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