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Record W4382681239 · doi:10.1007/s10502-023-09419-5

Emotional responses in archival work

2023· article· en· W4382681239 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

VenueArchival Science · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSet (abstract data type)Interpersonal communicationWork (physics)Emotional laborPsychologyPublic relationsSocial psychologyEmotional exhaustionSociologyPolitical scienceBurnoutEngineering

Abstract

fetched live from OpenAlex

Building on previous work investigating the impact of exposure to (a) records with traumatic potentialities and (b) interactions with donors and community researchers whose suffering is documented in the archives, this study sought to better understand emotional aspects of archival work. Using a diary research methodology, 15 archivists engaged in diary keeping for approximately four months. What emerged was a broad set of events and experiences that triggered a wide range of emotional responses arising from archival work. This included: pre-existing emotional states and characterological traits; emotional exchanges in the workplace with colleagues and others; emotional demands of the work (including emotion work and emotional labour); team and leader interactions arising from group tasks and leader behaviour; and organizational policies, climate, resources and demands. This broader set of interactional factors forms the foundation on which traumatic and other troubling events are encountered. Future research must consider the nature of archival organizations and interactions within them that contribute to the overall working experience. In addition, archival organizations need to take responsibility for creating a culture that demonstrates respect and appreciation for workers, acknowledges the interpersonal challenges of the work, and provides supports for archivists who are shouldering the challenges.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.720
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.063
GPT teacher head0.399
Teacher spread0.336 · 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