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Record W2792942263 · doi:10.1080/0960085x.2018.1435232

Philosophical foundations for informing the future(S) through IS research

2018· article· en· W2792942263 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Journal of Information Systems · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicInformation Systems Theories and Implementation
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsSociotechnical systemFutures contractScholarshipSociologyEpistemologyField (mathematics)Engineering ethicsFoundation (evidence)Information technologyPhilosophy of technologyInformation systemKnowledge managementManagement sciencePhilosophy of scienceComputer sciencePolitical scienceEconomicsEngineeringPhilosophy

Abstract

fetched live from OpenAlex

Information systems (IS) scholars have suggested IS researchers have a responsibility to consider how information and communication technologies could, in the future, influence sociotechnical practices and outcomes. However, research focused specifically on “the future” has yet to gain a strong foothold within the scholarly IS field. In this essay, we suggest a philosophical foundation and epistemological basis for futures-oriented research to advance such scholarship in the IS field. We first highlight epistemic assumptions about futures-oriented research drawn from the discourse of futures studies. We then draw on Feenberg’s philosophy of “potentiality and actuality” of technology as a foundation to consider how knowledge generated through IS research about the sociotechnical past and present might inform futures-oriented inquiry. We illustrate these arguments with examples from the emerging arena of “big data” research.

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.

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)0.015
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.976
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.005
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 head0.138
GPT teacher head0.435
Teacher spread0.297 · 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