Youth Culture and New Media: A Study of Telecommunications Advertisements in Nigeria
Bibliographic record
Abstract
The first telecommunications company introduced into the Nigerian economy by the British colonial administration was known as the Posts and Telegraph (PT Mufune, Lengure, Katembula & Osei-Itwechie, 1990; Makinwa-Adebusoye, 1991; and Olatunji (2007) who classified youths as persons between ages 13 and 30 years, male and female, regardless of their socio-economic status. Citing Philips (1997), Olatunji (2007) observes that more than 45 percent of Nigerians are youths, based on earlier population figures. The 2006 census figure puts Nigeria's population at over 140 million, but now estimated at over 150 million. This study investigates the dominant youth cultural trends exhibited in telecommunications advertisements in Nigeria. The concept of has been adequately addressed in the literature (Hobbs & Blant, 1975; Potter and Samovar, 1994; Collier, 1994; Gibson, Ivancevich & Donnelly Jr., 1997). Succinctly put, refers to the totality of man in terms of his historical development, knowledge, belief system, science, technology, institutions, philosophical worldview, and so on. Collier (1994) says that is historically transmitted system of symbols, meanings and norms and that is what people think, feel, say and do at any particular time. Moreover, we see as dynamic, learned, transmissible, interrelated, cumulative, universal, yet relative. Because is subject to constant changes, it is regarded as non-static or dynamic. Olatunji (2008) submits that the uniqueness and peculiarity of lies in the fact that cultural trait has meaning and legitimacy within its own cultural context and that every should be assessed based on its own criteria. The advertising industry can conveniently be classified as both an economic or social institution, as Olatunji (2003) had done. In the words of De Mooij (2004) culture is the glue that binds groups together, concluding that: consumers are products of their and cannot be separated from the individual. Olorunnisola (2009) asserts that cellular phones have become a part of the youth and popular culture. Citing a United Kingdom (UK) study (Gordon, 2006), Olorunnisola (2009) reports that over 90 percent of 15 to 25 year olds own a cell phone and use the text message service as a way of keeping the cost down. …
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".