Instagram – ‘bringing you closer to the things you love’: Ghanaian popular dance circulation through interaction within current pervasive media
Bibliographic record
Abstract
The advent of social networking today is bringing us closer to the people, places and things we love to see. As an avenue for bridging the communication gap and advancing human interaction, social media’s pervasiveness has had tremendous impact on Ghanaian dance culture in contemporary times. Popular dancers today present their oeuvres in the form of short videos (mostly a minute) on Instagram and solicit user responses from audience of diverse backgrounds and locations. Considering this influence of globalization, its pervasive global communication media, and the move from in-person to virtual communication, it is imperative to interrogate the utilization of the social media networks (especially Instagram) by Ghanaian popular dancers in recent times as regards its impact on the proliferation of the locally created popular dances. This article is framed within the concept of Active and Affective modes of engaging with mediated dances and Connective Marginalities in addition to perspectives from globalization, social media and popular dance studies. Through the analysis of the exploits of two famous popular dancers in Ghana and specific ‘cypher pages’, I highlight the opportunities offered by Instagram as an alternative ‘cultural space’ for the marginalized youth to exhibit their creative ingenuities whilst interacting and reaching out to a wider audience within the shared mediated space.
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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 | 0.001 | 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 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".