SOCIAL PRESSURE IN THE QUARTER LIFE CRISIS THROUGH POSTER MEDIA
Bibliographic record
Abstract
Quarter Life Crisis is a time when a person experiences confusion, uncertainty and stress which is often experienced by individuals in their 20s to early 30s. One cause is social pressure. The characteristics of someone experiencing a quarter life crisis include, the individual does not know what his desires and goals in life are, his achievements at that age do not match expectations, he is afraid of failure, he does not want his childhood and adolescence to fail. This community empowerment activity is carried out online via Instagram Post from the @phoffeedu account. This activity aims to provide education to Instagram followers @phoffeedu and people who are within Instagram's reach through the hashtag (#) displayed on posts, explore, stories, etc. Regarding the definition, characteristics and methods of preventing and managing quarter life crisis, social media can be used to share health information so that it is effective in changing people's behavior. One of the health promotion media is posters. The theme of this poster is Social Pressure in the Quarter Life Crisis. 50 hours since the poster was uploaded, it has received approximately 147 likes. Of the 41 comments submitted on the poster, 100% of them showed positive reactions from the audience. There were also those who said that the poster really helped them, especially generation Z, in preparing for, preventing or overcoming a quarter life crisis. This means that the goal of the post to raise awareness about the quarter-life crisis has been achieved according to the comments.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 0.005 |
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".