Motivations and Factors that Contribute to Successful Drumline Groups in Malaysia
Bibliographic record
Abstract
Drumline has gained more popularity as an independent percussion group with its new music arrangement and attractive drum groove. It is seen that a quite number of drumline groups have been established in Malaysia as part of music activities such as secondary school and university drumline and community group. However, the insufficient emphasis or highlights has likely created diverse perceptions on the development of drumline groups as they have the tendency to have different reasons for joining a drumline group. Therefore, to further investigate this matter, the study focuses on four subscales of intrinsic motivation of Intrinsic Motivation Inventory (IMI), which are (a) Interest-enjoyment dimension, (b) Effort-importance dimension, (c) Value-usefulness dimension, and (d) Pressure-tension dimension. The data is collected using questionnaire, with the consideration of the members’ demographic profile, motivation and factors that contribute to the success of drumline groups, specifically in Malaysia. Based on the findings, majority of the members perceived their interest-enjoyment as a reason to join in the drumline ensemble group. They have an agreement on the fact that drumline is a great activity to participate as it is enjoyable and exciting. Also, it is identified that teamwork, enjoyment, and dedication were among the factors that contribute to successful drumline groups. In general, the members are motivated, despite the lack of sponsorship for drumline event or competition.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".