Bibliographic record
Abstract
Even though there is plenty of published information about the advantages of peer review, little can be found on what the beneficiaries (i.e. the students) feel about this method and what they might expect from it. In this paper, we present an analysis of the perceptions of 44 students at one of the largest universities in Ecuador, who had just undertaken a course in academic writing which used peer revision as the main tool for improving final essay compositions. The results show that participants of the groups who followed a peer revision approach do believe that they benefited from this method. This conclusion was reached after analysing students’ answers to a questionnaire which comprised closed option (multiple choice) questions as well as open-ended responses on the same three aspects pertaining to the impact of peer review: critical thinking, collaborative work and composition quality. This research is based on Vygotsky’s socio-cultural approach; it also supports and broadens previous investigations on this topic giving a more detailed and deep-rooted perspective, as participants who have used this methodology comment on its benefits and/or flaws.
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 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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".