Bibliographic record
Abstract
While plagiarism claims have skyrocketed, the response within academia to scandals among its members has remained ambivalent. While most people are willing to proclaim plagiarism as a serious offence, our actions when confronted with cases among our colleagues often vary considerably. While this has been going on, mergers, tough financial times, and the growing quest for short-term bestsellers have transformed the publishing world, both on a broader scale and within academic publishing in particular. This has created a situation in which the goals of publishers and those of academia with regard to intellectual dishonesty have diverged considerably. Several recent examples are described in which misunderstandings have developed regarding the role publishers play in maintaining scholarly integrity. The author also describes his own experience, in which a publishing company chose an explanation geared more toward its own interests than to that of scholars when handling a report of plagiarism. Calling attention to these events should not be perceived as demonizing publishers and blaming them for misconduct. Rather, uncertainty within the academy makes it easy for those outside it to render academic judgements irrelevant and to set their own policy. Instead, academics should begin a candid discussion on the importance of maintaining or altering plagiarism rules in order to have a stronger and more unified voice capable of more influence on outside parties, whether students, corporations, or media. Note: No information will be given regarding the identity of the publishing company or the author involved in the incident mentioned.
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 | Scholarly communicationResearch integrity Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | Scholarly communicationResearch integrity Domain: not available · Genre: Other 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 | 0.010 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.026 | 0.024 |
| Scholarly communication | 0.035 | 0.014 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".