The Lived Experiences of Street Children in the Province of Cebu
Bibliographic record
Abstract
The study focused on the Lived Experiences of Street Children in the Province of Cebu.The study utilized the hermeneutic phenomenological research design. Moreover, the participants of the study are the ten (10) street children of Cebu Province selected using the purposive sampling method. Data Saturation was the basis for determining the number of participants in the study.To analyze the data, the researcher made use of Collaizi’s method. It is a unique seven-step methodology that offers a thorough examination, with each stage remaining true to the facts.Moreover, the study yielded four themes namely; (1) Basic Needs, (2) Dropping out of School, (3) Irresponsible Parents, (4) Health,and (5) aspiration. In addition, the study determined that everyday struggles are faced by street children in the Province of Cebu. Fulfilling fundamental needs, such as food, clothing, and a place to sleep is a challenge. Likewise, they have also missed out on the possibility to enroll in school, losing out on the ability to better their lives. Moreover, these children suffer from the sad situation of having negligent parents who fail to provide their basic necessities. Despite all of these setbacks, these children still want to succeed in life.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".