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Record W4200021596 · doi:10.1002/jcpy.1279

Commentaries on “Abductive Theory Construction”

2021· article· en· W4200021596 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

VenueJournal of Consumer Psychology · 2021
Typearticle
Languageen
FieldPsychology
TopicCognitive and psychological constructs research
Canadian institutionsKellogg's (Canada)Ontario Council of University Libraries
Fundersnot available
KeywordsAbductive reasoningProcess (computing)EpistemologyValue (mathematics)Strengths and weaknessesAction (physics)PsychologyDeductive reasoningComputer scienceManagement scienceSociologyEngineering ethicsSocial psychology

Abstract

fetched live from OpenAlex

Abstract This paper assembles five comments on Janiszewski and van Osselaer's (this issue) article that promotes abductive research as a way to generate new psychological theory. The review process began by asking those making comments to be part of collaborative communication between themselves and Janiszewski and van Osselaer. The five comments arising from that process provide well‐honed insights into the strengths and weaknesses of the abductive research. The first commentary, by Frank Kardes, offers convincing evidence showing that the techniques of abductive thinking are similar to other explorative techniques currently being successfully used in deductive research. Eileen Fischer sees abductive thinking as integral to inductive and qualitative thinking as it facilitates the generation of new constructs and remaps established ones. Stephen Spiller explores the implication of starting from interesting and paradoxical data rather than from established theory. The research challenge then requires a focus on strategic sampling of methods, responses, and critical constructs that confirm or limit a provisional theory. Aparna Labroo articulates the benefits of abductive thinking to help resolve complex practical problems, but warns against the proliferation of multiple findings that may be difficult to validate. Finally, Bublitz and Peracchio celebrate the value of abductive research to help resolve social issues and enable the fruitful merger of publishable research with personal social action.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.588
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0280.001

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 head0.074
GPT teacher head0.432
Teacher spread0.358 · 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