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Enregistrement W4309127530

Small Steps Forward Through Critical Appraisal (Editorial)

2006· article· en· W4309127530 sur OpenAlexaboutno aff
Denise Koufogiannakis

Notice bibliographique

RevueDOAJ (DOAJ: Directory of Open Access Journals) · 2006
Typearticle
Langueen
DomaineDecision Sciences
ThématiqueEvaluation and Performance Assessment
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCritical appraisalPsychologyComputer scienceMedicineAlternative medicinePathology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

As a vocal proponent of evidence based information practice, I have actively encouraged my co‐workers and anyone else who might listen, to take small steps in order to move towards incorporating research evidence into their decision making. I prompt colleagues to search in databases for research articles that may be useful, gather these articles and incorporate research results as part of their decision making process. I am often told of the difficulties faced despite one’s best attempts to make their practice more evidence‐based. A major difficulty is access to the research itself since librarians and information professionals often lack access to databases and journals in our field, particularly those of us working outside of academic libraries. An even more daunting question is how to critically read the existing research to determine whether it is valuable in a specific situation. Not all research is good, and how do we sort out the good from the bad? This inaugural issue of Evidence Based Library and Information Practice brings us one small step closer to addressing some of these concerns by equipping practitioners with information to help in their decision making process. Every issue of Evidence Based Library and Information Practice will incorporate approximately 10 evidence summaries to help readers sort through recently published research and determine if that research was done well. Evidence summaries provide a critical appraisal synthesis for a specific research article, so that practitioners may more readily determine if the evidence in that research study is valid and reliable, and whether they can apply it to their own practice. Evidence summaries are indeed a small step, but an important one. Published in an open‐access forum, these summaries will address three barriers to evidence based practice that we have faced in the past. First of all, they will bring awareness of previously published research to readers who may otherwise have missed this work. Secondly, they will bring that research to life, by engaging a dialogue with what has been published rather than allowing that published research to quietly wait to be discovered. And most importantly, the evidence summaries will allow for an objective critique of research, which in turn allows library and information professionals to make more informed decisions about the quality of the research and weigh this into their local decision making. Indirectly, reading critical appraisals informs us all of the questions we should be asking when we approach a research article and allows us to become more familiar with a critical approach to reading the literature of our field.I do not think that we could have a journal called Evidence Based Library and Information Practice without a section dedicated to critical appraisal of the existing research literature. A huge part of evidence based practice consists of filtering through the published research evidence to determine whether that evidence is valid, reliable and applicable to one’s own practice. Publishing such critical appraisal and sharing it with the whole LIS community is a central part of this journal and what we are striving toaccomplish. The Evidence Summaries Team is comprised of 10 members from Australia, Canada, New Zealand, the United Kingdom and the United States of America. They work in, and bring varying skills and knowledge from, academic, health, public and special library sectors. This is a diverse group of people who have dedicated themselves to writing one evidence summary per issue for the first year of publication. The evidence summaries follow a standardized format and undergo double‐blind peer review. A wide number of journals are scanned for potential research articles to review, and suggestions for review are most welcome. As editor of the evidence summaries, I hope that you find the format we have adopted useful, and that you will encourage colleagues to search this open‐access journal when they are looking for pre‐appraised evidence to support their decision making.

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.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,095
score de la tête « metaresearch » (Gemma)0,426
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: Évaluation · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,905
Score d'incertitude au seuil0,502

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0950,426
Méta-épidémiologie (sens strict)0,0040,002
Méta-épidémiologie (sens large)0,0040,005
Bibliométrie0,0090,002
Études des sciences et des technologies0,0050,010
Communication savante0,0180,012
Science ouverte0,0070,006
Intégrité de la recherche0,0180,028
Charge utile insuffisante (le modèle a refusé de juger)0,0180,014

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 Opus0,594
Tête enseignante GPT0,688
Écart entre enseignants0,094 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
DomaineÉvaluation
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2006
Routes d'admission1
Résumé présentoui

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Même revueDOAJ (DOAJ: Directory of Open Access Journals)→Même sujetEvaluation and Performance Assessment→Travaux en français237 207→