On the “essential condition” of intellectual capital: labour!
Bibliographic record
Abstract
Purpose Following Marx and Engels' identification of the “essential condition of capital”, the purpose of this paper is to begin an initial critical exploration of the essential condition of intellectual capital, particularly the ownership rights of labour. Design/methodology/approach Adopting a critically modernist stance on unitarist HR and OB discourse, and contextualised within a background on the stock option phenomenon and recent accounting regulation, the paper argues that the fundamental nature of the capital‐labour relation continues resiliently into the IC labour (intellectual capital‐labour) relation. Findings There is strong evidence that broad‐based employee stock options (ESOPs) have become institutionalised in certain firms and sectors – but the future of such schemes is very uncertain (post 2005 accounting regulation). Overly unitarist HR/OB arguments are challenged here with empirical evidence on capital's more latently strategic purposes such as conserving cash, reducing reported accounting expense in order to boost reported earnings, deferring taxes, and attracting, retaining and exploiting key elements of labour. Research limitations/implications Research supports the positive benefits of broad‐based employee stock ownership schemes. Further research on the benefits of such schemes and the reasons why they are or are not implemented is now required. Practical implications From the perspective of labour, nothing appears to have really changed (yet) in terms of the essential condition of intellectual capital. Originality/value This paper explicitly raises the issue of the ownership rights of labour to intellectual capital.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.069 |
| Scholarly communication | 0.007 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".