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Record W4417420315 · doi:10.64753/jcasc.v10i4.3350

Methodological Opportunism in Management: The Use of the Case Study Method to Develop a New Construct Called IODD

2025· article· W4417420315 on OpenAlexaff
Anis Bachta, Abdenasser Maaref, Mohsen Debabi

Bibliographic record

VenueJournal of Cultural Analysis and Social Change · 2025
Typearticle
Language
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsOptech (Canada)
Fundersnot available
KeywordsPositivismOpposition (politics)Constructivism (international relations)VisionMetatheoryObjectivity (philosophy)Construct (python library)Strict constructionism

Abstract

fetched live from OpenAlex

The different visions that organizational reality conveys generates a diversity of research methods allowing it to be approached from different perspectives. Such diversity of paths to reality in organizations often poses epistemological problems. In fact, by migrating from one vision of the organization to another we go through a continuum from subjective to objective and the methods of investigation change accordingly. In management sciences, this epistemological opposition between the positivist perspective and the constructivist one results in two research directions. Research traditions in management sciences generally mean that confirmatory research relies on quantitative techniques and exploratory research tends to adopt qualitative methods. However, can we really speak about antagonism between positivism and constructivism in management science? If not, what are the epistemological foundations of the case study as a research strategy in management sciences? Such a response marks, in our opinion, the need to adjust research paradigms by putting an end to the opposition between positivist positioning and constructivist positioning. Especially since such an opposition has been falsified since Piaget (1970) then by Latour (1991).

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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score0.651

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.007
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.358
GPT teacher head0.386
Teacher spread0.028 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2025
Admission routes1
Has abstractyes

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