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Record W4213366240 · doi:10.31274/archivalissues.10928

The Identity Complex: The Portrayal of Archivists in Film

2015· article· en· W4213366240 on OpenAlexaff
Amanda Oliver, Anne Daniel

Bibliographic record

VenueArchival issues · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsWestern University
Fundersnot available
KeywordsIdentity (music)OutreachPublic relationsSociologyPersonality psychologyMedia studiesPolitical sciencePsychologyAestheticsLawSocial psychologyPersonalityArt

Abstract

fetched live from OpenAlex

Archivists are depicted in various forms of media, and these representations influence how the world perceives the profession. This study, building on previous research, investigates how archivists are portrayed in film. The authors identified 43 films featuring archivists and conducted a content analysis of each film. The study reveals the lack of a clear image of archivists, who are presented as complex and sometimes ambiguous individuals. Many characters exhibit multifaceted personalities, and few fit the stereotypical qualities identified in previous research studies. This lack of a defined image may stem from a dearth of understanding of the archives profession among both the general public and individuals in the film industry. This poses a significant threat to the profession because it could lead to a lack of funding and an inability to attract donors, researchers, and future archivists. The archives profession must respond to these misconceptions and ambiguous images by engaging in proactive and consistent outreach. The search for a clear identity for archivists is ongoing. It offers an opportunity to generate discussion about the profession within the archival community and to make our complex professional identity accessible to the greater community.

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)0.000
metaresearch head score (Gemma)0.000
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.797
Threshold uncertainty score0.262

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.086
GPT teacher head0.277
Teacher spread0.191 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations6
Published2015
Admission routes1
Has abstractyes

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