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
<p>Developed by the Social Media Lab (socialmedialab.ca) at Ryerson University,&nbsp;Netlytic (netlytic.org) is a cloud-based text and social network analyzer that&nbsp;aims to help uncover social networks from online conversations. Netlytic&nbsp;has the ability to import data from a number of sources&mdash;including Twitter,&nbsp;Facebook, YouTube, Instagram, text files, RSS feeds, and cloud storage&mdash;and&nbsp;advocates for ease of use as it requires no programming skills. However, Netlytic&nbsp;does require some underlying knowledge about the structure of the data you&nbsp;are working with. All in all, I found Netlytic to excel at carrying out exploratory&nbsp;analysis. In my opinion, more focused and descriptive analysis would require a&nbsp;different set of more specialized tools. Netlytic integrates a data harvester with&nbsp;a streamlined user interface. The result: ease of use and convenience.</p>
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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