Industry Lifecycle of Nigeria’s Telecom Sector: Possible Trajectories after Deregulation
Bibliographic record
Abstract
This current study examines Nigerian telecom sector status change caused by the arrival of a new wireless mobile technology. Nigeria’s telecom industry had been a state owned industry due to its highfixed cost of operation until it was deregulated in 1999. Availability of wireless mobile phone technology drastically reduced the high fixed cost of operation which paved the way for deregulation. The study used data obtained from the Nigerian Communication Commission. The study finds that Nigeria’s telecom sector after it was deregulated follows typical industry life-cycle stages as shown in Gort and Klepper (1982). Although, it has not reached the shakeout stage (a sharp decline in the number of firms). It, however, shows signs of two possible trajectories after stage three. They are steady or shakeout states. These findings help the Nigerian Communication Commission form a better guideline to predict the sector.
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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 | 0.000 | 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 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".