Computers and organisational structure: a sociological perspective
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The introduction of large–scale, integrated computer systems into corporations, government departments, and other organisations is a relatively new phenomenon, but one which has significant consequences for organisational structure. While existing sociological models provide significant insight into more traditional organisations, they fall short when applied to these new hybrid human/computer organisations. This paper is an attempt to develop a more comprehensive model of the human/computer organisation. The paper begins with a presentation of a typology which identifies organisations which lie outside of the realm of the more traditional sociological models. Next, the work of four important social scientists, Tonnies, Weber, Durkheim, and Freud, is reviewed, assessing the applicability of their work to the human/computer organisation. Finally, a new model is introduced which integrates the main themes of the more traditional models with the hypothesised characteristics of a large–scale, integrated computer system. The ramifications of the model are then discussed and some organisational considerations raised.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it