Notice bibliographique
Résumé
Being a parent, my wallet has its share of children’s photos. Like all parents, I have carefully selected the most flattering ones for display. Similarly, as a scientist, I am apt to display only the most flattering snapshots of my efforts, that is, only those instances where data and theory coincide. In the scientific literature, rarely do we see data published without an accompanying explanation that places it within new or existing theories. There is reason for this. As scientists, we are uncomfortable with the presentation of uninterpretable data, as it implies a lack of understanding or a poorly conceived experiment. As readers, we do not want to see journal pages filled with “data reports” that provide little insight into hydrogeologic phenomena. Thus, the scientific literature is filled with snapshots of “beautiful babies.” I contend, however, that there is a vast number of data that do not fit neatly within available interpretations. Are we slowing the advancement of our science by not looking more closely at some of those “ugly babies”? (I am assuming that those “ugly babies” are the result of properly designed and monitored experiments.) Being involved in field-oriented research in fractured-rock aquifers, I have files and files of data. Because of the heterogeneity in fractured rock, hydraulic and chemical responses do not always fit within well-defined interpretations, and I would venture that the same is true for many complex physical, chemical, and biological processes in most geologic settings. In attempting to decipher data, I am faced with the question of whether I am observing an artifact of site-specific heterogeneity, or a yet uninterpreted phenomenon that may be transferable from site to site. The former may be of little interest in the hydrogeologic literature, whereas the latter potentially would be of widespread interest. Field-oriented research is extremely expensive, and there is a dearth of detailed data sets, at least for fractured-rock aquifers. Thus, rarely are there comparisons of data from multiple sites. Recently, I made an effort to examine and synthesize hydraulic and chemical experiments conducted at several fractured-rock sites. Most of the data I collected with collaborators, but I have also been drawing upon unpublished data from colleagues. I have been surprised to see dramatic similarities between these unpublished data, which has led to new insight into processes in fractured rock, insight that would have been lost without looking at data from multiple sites that were deemed to be uninterpretable. There have been huge benefits to the hydrogeologic community in the availability of data from the experimental sites at Camp Borden, Ontario (e.g., MacKay et al. 1986. Water Resources Research 22, no. 13: 2017–2029), Cape Cod, Massachusetts (e.g., LeBlanc et al. 1991. Water Resources Research 27, no. 5: 895–910), and the Macro-Dispersion Experiment (MADE) site in Alabama (Boggs et al. 1992. Water Resources Research 28, no. 12: 3281–3291). In fact, the data from the MADE site initially confounded many hypotheses, and these data have been a source for reevaluation, leading to advances in the understanding of geologic controls on chemical migration (e.g., Feehley et al. 2000. Water Resources Research 36, no. 9: 2501–2515). These sites are examples where huge investments have been made to test existing or new hypotheses; however, a wealth of data has been collected on much smaller scales that infrequently find their way into the accessible literature. Making those data available might result in insight that will accelerate our understanding of complex processes in geologic environments. A mechanism for publishing and sharing our “ugly babies” should be developed, but without filling journal pages as data reports. The Internet provides an available means of sharing information, and professional societies and publishers are embracing paperless publishing of scientific literature. With an eye toward advancing scientific understanding, professional societies and publishers could administer a separate series of paperless publications that are dedicated to the presentation of data that may not be readily interpreted by existing theories, or when synthesized with data from other sites may lead to new hydrogeologic insight. These data should be subject to some level of review prior to their posting to ensure explanations of data collection are thorough and metadata are complete. In addition, as scientists, we need to overcome the stigma of presenting uninterpretable data and feel no embarrassment in publishing our “ugly babies.”
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 distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,004 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».