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Record W4319039589 · doi:10.1177/01708406231156978

Rethinking Historical Methods in Organization Studies: Organizational Source Criticism

2023· article· en· W4319039589 on OpenAlexfundno aff
Michael Heller

Bibliographic record

VenueOrganization Studies · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsnot available
FundersNewcastle UniversityUniversity of ExeterUniversity of AlbertaCopenhagen Business School
KeywordsCriticismNarrativeOrganizational studiesSociologyContext (archaeology)Organizational cultureEpistemologyPublic relationsPolitical scienceHistoryLiteratureLawArtArchaeology

Abstract

fetched live from OpenAlex

How do we know what we know about an organization’s history? What methodologies do historians use? I explain and adapt the historical method of source criticism for organizational scholars through the new technique of organizational source criticism. Source criticism is how historians do research in archives. The role of source criticism is to identify, analyse and use bias in historical sources to write reliable historical narratives. Organization source criticism emphasizes the plurality of organizational sources. I capture this plurality through the organizational source criticism matrix, which categorizes organizational archival sources into four types based on their category and modality. Category differentiates between narrative and documentary sources, and modality distinguishes reportative from performative sources. The matrix proposes four distinct forms of source criticism for each type of organizational source and exemplifies these through two academic articles from management and organizational history. The paper encourages researchers to adopt organizational source criticism to create robust organizational historical narratives. It also emphasizes the importance of context, triangulation and colligation in organizational historical research. Organizational source criticism is a new historical methodology adapted to researching sources in organizational archives that aims at establishing the veracity and meaning of organizational archival sources. It will benefit organizational scholars who intend to conduct historical organizational archival 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.

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)0.001
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.527
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.015
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.080
GPT teacher head0.336
Teacher spread0.257 · 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.

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

Citations57
Published2023
Admission routes1
Has abstractyes

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