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Record W3020844025 · doi:10.1177/0268396220911938

Theory building is neither an art nor a science. It is a craft

2020· article· en· W3020844025 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Information Technology · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsHEC Montréal
FundersHEC Montréal
KeywordsCraftPhenomenonIngenuityEpistemologyPerspective (graphical)PatienceComputer scienceQuality (philosophy)Philosophy of scienceProcess (computing)SociologyPsychologyPhilosophyArtificial intelligenceSocial psychology

Abstract

fetched live from OpenAlex

Researchers often hold a romantic view of theory, which they feel should be a complete, flawless, deep, and exhaustive explanation of a phenomenon. They also often hold a romantic view of theory building, which they envision either as emerging from trancelike writing or as the product of a straightforward deductive process. The perspective I offer is more realistic and pragmatic. I espouse the view that the outcomes of a researcher’s theorizing efforts are often incomplete explanations of a phenomenon, which, given a chance, may develop into rich theories. I propose a highly iterative spiral model that portrays theory building as a craft, which calls for care and ingenuity, and requires patience and perseverance. I also propose design principles that can contribute to the quality of the outcome of theorizing.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.774
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.005
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.010
GPT teacher head0.226
Teacher spread0.216 · 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