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Enregistrement W4405638734 · doi:10.1117/1.nph.11.4.040101

On the Power of Constructive Criticism

2024· editorial· en· W4405638734 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.

Notice bibliographique

RevueNeurophotonics · 2024
Typeeditorial
Langueen
DomaineSocial Sciences
ThématiqueCritical Theory and Philosophy
Établissements canadiensUniversity of British ColumbiaUniversity of Alberta
Organismes subventionnairesNational Institute of Neurological Disorders and StrokeNational Institute on Drug Abuse
Mots-clésComputer scienceConstructive criticismCriticismConstructivePower (physics)Data sciencePolitical sciencePhysicsProgramming language

Résumé

récupéré en direct d'OpenAlex

On the Power of Constructive CriticismAs we approach the end of 2024, we thank our reviewers who take time away from their jobs, family, and friends to support non-profit publishing and ensure that novel, rigorous and impactful research appears in every issue of Neurophotonics.On that note, we often get inquiries from junior scientists about how to become a Neurophotonics reviewer and what are the criteria for good reviews.The answer to the first question is simple-publish in Neurophotonics!To answer the second question, let's talk about the practice of peer review.You, our reader, probably know that academic publishers differ in their perspectives on the anonymity of peer review.Some (e.g., eLife) not only reveal the reviewer identity but also publish review reports together with research articles.Others (e.g., Frontiers) reveal reviewers' identity but do not publish the reports.At SPIE journals, peer review is single anonymous, i.e., the reviewer identity remains confidential.Those in favor of full disclosure often say that it increases the quality and transparency of peer review.The reason that it works, in many cases, is that if the paper is good, reviewers' comments would be supportive and helpful for the authors to generate a better paper.So, everyone wins.If the paper is bad, it would be rejected, and the names of reviewers would not be released, so, no harm done.In addition, a reviewer may offer an insight that would be credited to them if the comment is published with a paper.So, it can be argued that co-publishing reviews encourages reviewers not to hold back creative ideas and interpretations.However, those in favor of keeping confidentiality rightly point out that open criticism-fair or not-can have adverse effects on the scientific community triggering hostility, skepticism, etc.These negatives defeat the purpose, i.e., increasing the integrity of peer review.At Neurophotonics, we realize this complexity and are not taking sides.As an SPIE journal, Neurophotonics does not reveal reviewers.Nevertheless, when you sit down to write your report, try to imagine that it would be released.Let us explain why.Let's say that a paper that you are reviewing is interesting and has a kind of innovation in methodology or application that you expect from Neurophotonics papers.You start by focusing on the big picture and summarize the strengths and weaknesses.Then, you describe what it would take, in your opinion, to address the weaknesses and make it useful for the community.How should you phrase your criticism?In general, your role as a reviewer is to be both critical and supportive.If you place yourself on the receiving end, you as an author would like to believe that if you put in additional work that a reviewer is asking for to resolve certain issues, the reviewer would be likely to appreciate the improvement.So, when you write your review, ask yourself whether there is a path to significant improvement.If the answer is "yes," this is where a mental exercise of imagining your report being released comes in.Do not hesitate to communicate to the authors that you support this line of research and are excited about the study.Then, encourage the authors to take a deep breath and invest more time and effort to make the best version of the paper they can.To this end, concrete guidelines to where the problems are and what can be done to strengthen the study are very helpful...when delivered without sounding dismissive or argumentative.Think of this experience as a collaboration, not a fight.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,007
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,345
Score d'incertitude au seuil0,981

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,007
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,017
Tête enseignante GPT0,320
Écart entre enseignants0,303 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle