Bibliographic record
Abstract
Purpose This paper makes a case for the investigation of organizational paradoxes through the analysis of documents. After having presented what paradoxes are and the methodological challenges of studying them, the paper turns to document research, with emphasis on its potential contribution to paradox research. More specifically, document research typically provides ready-to-code data in a nonintrusive manner, allowing for the potential longitudinal, multilevel and multivoice analysis of organizational paradoxes and their management, in practice. To illustrate this, the purpose of this paper is to explore exemplar research based on multiple approaches to the study of different paradoxes in/around various documents and sets a research agenda. Design/methodology/approach Exemplar research on paradoxes using organizational documents as central data are presented. This highlights the range of documents and analytical strategies that can be used to explore organizations’ discursive management of paradoxes, as well as the roles documents can play in organizational contexts marked by different types of paradoxes. Findings A research agenda is developed, formulated around the needs to study paradoxes within documents and around them; grasp the discursive strategies deployed in documents to deal with paradoxes and/or the action of documents in contexts marked by paradoxes; follow the organizational processes involving documents, paying special attention to the paradoxes surrounding the development, adoption and appropriation of documents; and compare paradoxes in documents and those around the documents’ mobilization. Originality/value Despite growing interest in organizational paradoxes, reflections on methodological approaches to exploring them remain scarce and alternative methods largely unexplored. This paper makes the following proposition: organizational documents (strategic plans, annual reports, policies, websites, etc.) can provide a valuable entry point to explore organizational paradoxes.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".