Journeying through Query Verse: A MERN-Stack Implementation for Dynamic Web-based Inquiry
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract: The recognition of the need for a senior-junior question-answer web application emerged from interactions within educational institutions. Numerous instances of juniors seeking guidance from seniors led to the realization of a gap in information dissemination. The necessity to bridge the gap between students' queries and available answers became evident, Research into existing platforms revealed a limited number of solutions, predominantly Q&A websites and educational forums. Existing online platforms offer general Q&A interactions but fail to cater to the unique mentorship dynamics between seniors and juniors. These platforms lack features tailored to fostering these specific relationships. The implementation of a seniorjunior question-answer web application is essential to formalize the mentorship process. Literature reviews unveiled gaps in platforms catering to such relationships, highlighting the need for a specialized solution. The proposed solution seeks to address these gaps.
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.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it