MétaCan
Menu
Back to cohort
Record W6886002945 · doi:10.14288/1.0441468

"So that they might be useful in the future" : exploring the futurity of international archival initiatives

2024· article· en· W6886002945 on OpenAlexaboutno aff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsnot available
Fundersnot available
KeywordsPraxisArchival scienceWork (physics)ConversationEconomic JusticeNational archivesCultural heritage

Abstract

fetched live from OpenAlex

The aim of this thesis is to explore the futurity of two international archival initiatives: Saving Ukrainian Cultural Heritage Online (SUCHO) and the Endangered Archives Programme (EAP). To accomplish this, the mechanics of archival work as articulated by the Association of Canadian Archivists, the Society of American Archivists, and the International Council on Archives were synthesized and placed in conversation with theories of intergenerational justice to argue that archivists can be obligated out of considerations of justice to conduct their practice for the benefit of future generations. A framework for “sustainable archives”—archives which enable present generations to meet their recordkeeping needs without compromising the ability of future generations to meet their own recordkeeping needs—was developed to aid archivists in reconfiguring their practice to be more future-oriented in nature. A grounded theory approach to content analysis was utilized to discern the underlying assumptions about records, archives, and the applicability of archival praxis in future-oriented contexts exhibited through the websites of SUCHO and the EAP. This thesis concluded that neither SUCHO nor the EAP were entirely compatible with the sustainable archives framework, but that archives and archival associations can more intentionally become “future-beneficial” institutions by implementing “future beneficial” mechanisms in their institutions to achieve a better balance between the legitimate recordkeeping needs of present generations and the potential recordkeeping needs of future generations.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.028
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
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 score0.975
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0240.050
Scholarly communication0.0250.024
Open science0.0020.013
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0030.000

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 head0.034
GPT teacher head0.183
Teacher spread0.149 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venuecIRcle (University of British Columbia)Same topicDigital and Traditional Archives ManagementFrench-language works237,207