Computerization, institutional maturation, and qualitative change: Analysis of a Ghanaian public corporation
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
Abstract This article uses the social interactionist conceptual framework to analyse computerization in the Volta River Authority, a public corporation in Ghana. It first analyses the initial phase of ICT adoption in the organization, and shows how limited personnel skills, unplanned and uncoordinated innovations, and overwhelming organizational defects resulted in the inability of the technology to produce intended results. The article then proceeds to discuss how these initial problems were dealt within the subsequent phase to produce more positive outcomes. Reasons for this success included comprehensive feasibility studies, departmental representation in planning, and corporate support for the technologies at the highest organizational levels. It suggests, however, that certain socio‐cultural, political and organizational problems continue to hinder effective use of ICTs. Based on these findings the article concludes that institutions should be understood as social systems with contingent configurations of reality that determine the success or failure of technological innovations. The unique contingencies that constitute a particular system should, therefore, be taken into account when designing, adopting, and implementing innovations. This is not only to ensure the sensitivity of the innovations to the social milieux into which they are planted, but also to address any militating factors that might constrain the effectiveness of the innovations.
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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| 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