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Record W4405386001 · doi:10.33137/ijournal.v10i1.44536

Towards an Understanding of Archival-Poiesis

2024· article· en· W4405386001 on OpenAlexvenueno aff
Benjamin De Boer

Bibliographic record

VenueThe iJournal Student Journal of the Faculty of Information · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsnot available
Fundersnot available
KeywordsAestheticsHistoryComputer scienceArt

Abstract

fetched live from OpenAlex

This text explores the transformative relationships connecting F riederike Mayröcker’s writing, personal papers, and institutionalized fonds. It presents an interpretive case study in three parts: first, by establishing a critical context; second, by examining her own writing, interviews, and documentary footage on personal archiving; and third, by analyzing her archive on the Austrian National Library’s web portal. I interpret these activities using literature that challenges notions of individual authorship, reveal material networks and forces in textual production, and argue for collective and social models of archival arrangement. I warrant that these zones evince a shared activity which I introduce as the concept of archival-poiesis, a distinct process that constellates ongoing relations with the radical contingency of the ordinary. The resultant fonds is a text which does not represent a life as much as offer a trace of living. By emphasizing ongoing activity, attunement to the poiesis of the archival task invites meditation on the paradoxical iterative project of self fashioning, and being fashioned by the world around you, through discrete choices. By this, I mean we can begin to see living as a material project, an art in continual circuit navigating a journey from an unchosen starting place toward an unknown destination. Mayröcker’s project insists that we are missing out in searching for internal meaning alone. Her archival-poiesis, a singular case of a much larger spectrum of related techniques, draws attention to the expressive sensibility of exteriority as a territory for the potentiation of difference.

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)0.011
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.015
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0080.092
Scholarly communication0.0150.024
Open science0.0020.008
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0040.001

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 head0.067
GPT teacher head0.279
Teacher spread0.212 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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