Toward an information management system for handling parenting information users' comments
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 Little is known about how their qualitative feedback can be used by information providers. In this study, researchers worked with information providers, ‘Naitre et grandir’ (N&G), to implement the Information Assessment Method (IAM) for assessing and improving parenting information. Qualitative feedback was collected from participants who visited the N&G website during the study period and who completed an IAM questionnaire. Using an Organizational Participatory Research approach, a coding manual for the identification of participants’ comments was created, and developed by the researchers in partnership with information providers. This manual was used by two coders for classifying participants’ comments. A 4‐step process was followed. For each step, a sample of comments were codes, coding was compared, and codes were further refined. At step‐4, the inter‐coder reliability was tested. This led to a reliable coding manual that will be used in the creation of an online system to facilitate the coding of comments, and provide selected comments to N&G editors on a weekly basis. This system can be adapted by other website editors.
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 | 0.010 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.014 |
| Open science | 0.000 | 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