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Record W3206893018 · doi:10.1145/3479603

Time for Historicism in CSCW: An Invitation

2021· article· en· W3206893018 on OpenAlexaff
Robert Soden, David Ribes, Seyram Avle, Will Sutherland

Bibliographic record

VenueProceedings of the ACM on Human-Computer Interaction · 2021
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer-supported cooperative workSensibilityPresentismSociologyHistoricismField (mathematics)Engineering ethicsWork (physics)EpistemologyPolitical scienceEngineering

Abstract

fetched live from OpenAlex

This paper contributes to the development of an under-utilized area of focus for CSCW research and design: history. The design and evaluation of technology, as practiced in the field, has positioned CSCW as a largely forward-looking community. The enduring "presentism' and lack of historical view threatens to leave out a wealth of resources that can inspire design, support comparative analysis, and develop a deeper understanding of technology development and its social consequences. This paper argues that a historicist sensibility should inform the due diligence of all CSCW research, and we present connection points for the various ways in which historical research might more deeply inform CSCW, while offering a selection of historiographic challenges to sensitize CSCW scholars as we seek to better situate our collective work within both the present moment as well as ongoing temporal 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 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)0.022
metaresearch head score (Gemma)0.054
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.022
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.054
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0150.040
Scholarly communication0.0190.049
Open science0.0020.024
Research integrity0.0110.017
Insufficient payload (model declined to judge)0.0130.002

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 head0.056
GPT teacher head0.336
Teacher spread0.280 · 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
GenreCommentary

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

Citations76
Published2021
Admission routes1
Has abstractyes

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