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Record W4409523772 · doi:10.14195/2182-7974_38_1_4

Context(s) of the Archive

2025· article· en· W4409523772 on OpenAlexfundno aff
Randolph C. Head

Bibliographic record

VenueBoletim do Arquivo da Universidade de Coimbra · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsnot available
FundersFederation for the Humanities and Social Sciences
KeywordsContext (archaeology)HistoryArchaeology

Abstract

fetched live from OpenAlex

Both historical and archival theorists use the concept of “context,” but with significantly different referents. Historical context generally refers to circumstances surrounding events or actors of interest, and can range from the local details of events to global trends. Archival context, in contrast, was rigorously defined during the emergence of canonical Western archival theory in the 19th century, and refers to assemblages of records created by an actor – individual or institutional – while conducting its business, which must be preserved according to the canons of provenance and respect des fonds. This paper argues that archival context itself has a history, however, and that the canonical version associated with modernity and a capitalist political economy was preceded in Europe by a particularist, pertinence-based understanding of archival context that emerged from the political economy of privilege in late medieval and early modern Europe. Moreover, a post-modern understanding of archival context embodied in the model of the records continuum is emerging today, in connection with a political economy of commodified information. The essay offers both historical cases and comparative considerations to illuminate this trajectory. Close attention to context in historical and archival theories, which look at how archival thinking and historical thinking were entwined over this entire trajectory, provides a fresh perspective for understanding both past deep structures and current tendencies. The goal of scholarship is both to make meaning out of the evidence around us in disciplinary ways, but also to reflect on the conditions of that meaning-making: the limitations, the questions unasked, the patterns not perceived. Looking at archival regimes as a historian – given that historians today are profoundly dependent on archives – can add a recursive and dynamic perspective on long-standing models of transformative change.

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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.925
Threshold uncertainty score0.367

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 head0.013
GPT teacher head0.194
Teacher spread0.181 · 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
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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