Deconstructing a personal “academic”/“practitioner” narrative through self‐reflexivity
Bibliographic record
Abstract
Purpose The purpose of this paper is to self‐reflexively deconstruct a paper published by the author in 1996 about a Singaporean entrepreneur for whom the author worked. Through the deconstruction a number of important methodological and epistemological issues are raised. Firstly, the way in which the value of qualitative research in management and organization studies is judged more by how it conforms to acceptable ways of data collection, analysis and interpretation (strategic apparatus) than on any “truth” value it may have. Secondly, a consideration of how the “I” of the researcher is influential in how research is undertaken and written up. Thirdly, that this “I” of the researcher is also determined by what is acceptable “scientific” discourse and by other prevailing discourses. Design/methodology/approach In a paper published in 1996, the author detailed the “dark side” of an entrepreneur for whom he worked. Using a psychoanalytic framework this paper constructed the entrepreneur as an irrational and unethical incompetent. In the present paper, this earlier work is deconstructed using insights from Derrida's in order to highlight “strategic exclusions,” and to offer alternative readings. These alternative readings emphasize the influence of various discourses on the construction of the earlier paper, and also introduce a reading of the earlier paper as a psychoanalytic narrative. Findings The paper highlights the uses to which “objective tools” of analysis can be put in order to manipulate and construct an explanation and interpretation of personal experiences. This raises important epistemological issues concerning the influence of broader discourses on the representation of experiences and how realities and identities are constructed and performed. The paper concludes by suggesting that whom we are as researchers, and what we observe and write, is more complex and influenced by more discourse(s) than we might think. Even if researchers tell impressionistic and confessional tales simultaneously with their realist ones, it is necessary to consider what discourses may lay behind their telling. It has been argued that a limitation of deconstruction is that it may result in endless iterations and readings of text with no discursive closure. This may be a limitation of the deconstruction offered here. Originality/value The paper raises questions about the nature of the “academic” narrative and the importance of deconstruction in establishing author positioning within narrative. It contributes to the discussion about objectivity in organizational and management research and issues of epistemology and ontology more generally.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".