Bibliographic record
Abstract
Well-cited articles identify Google Scholar as a sufficiently lacking database to evaluate it as supplementary regarding the preferred reporting items for systematic reviews and meta-analyses: PRISMA. Subsequent author systematic review searches have accepted this relegation of Google Scholar to supplementary status without examination. This study questions this acceptance by (1) revealing the type of difficulties with Google Scholar identified in these well-cited publications compared with PRISMA guidelines, and (2) examining several PRISMA scoping review primary database searches performed by this author since 2023 for the adequacy of Google Scholar results compared with them. The results reveal that the reasons for considering Google Scholar a supplementary database regarding PRISMA status are not convincing, as they are unrelated to PRISMA guidelines for systematic reviews. Additionally, Google Scholar was the source of the most relevant included studies for the majority of this author’s post-2023 scoping reviews. These results demonstrate that the accepted advice to authors that Google Scholar should be a supplementary database is unsupported. Regarding PRISMA guidelines, based on the results of this original research, there should be immediate reconsideration of Google Scholar's status for acceptance as a primary database.
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
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Metaresearch Domain: Reporting · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | Metaresearch Domain: Reporting · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
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 | 0.699 | 0.901 |
| Meta-epidemiology (narrow) | 0.003 | 0.015 |
| Meta-epidemiology (broad) | 0.013 | 0.014 |
| Bibliometrics | 0.037 | 0.053 |
| Science and technology studies | 0.009 | 0.049 |
| Scholarly communication | 0.061 | 0.039 |
| Open science | 0.031 | 0.033 |
| Research integrity | 0.052 | 0.079 |
| Insufficient payload (model declined to judge) | 0.030 | 0.045 |
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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".