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Enregistrement W2783938336 · doi:10.1111/cobi.13059

Publishing social science research in <i>Conservation Biology</i> to move beyond biology

2018· editorial· en· W2783938336 sur OpenAlexaff
Tara L. Teel, Christopher B. Anderson, Mark A. Burgman, Joshua E. Cinner, Douglas A. Clark, Rodrigo A. Estévez, Julia P. G. Jones, Tim R. McClanahan, Mark S. Reed, Chris Sandbrook, Freya A. V. St. John

Notice bibliographique

RevueConservation Biology · 2018
Typeeditorial
Langueen
DomaineEnvironmental Science
ThématiqueSpecies Distribution and Climate Change
Établissements canadiensUniversity of Saskatchewan
Organismes subventionnairesnon disponible
Mots-clésConservation biologyConservation psychologyEnvironmental ethicsConservation scienceEcologyBiodiversityPublishingBiologySociologyPolitical sciencePhilosophyLaw

Résumé

récupéré en direct d'OpenAlex

Conservation biology arose as a field of academic science and management practice to intervene in what biologists and related professionals identified and perceived as a biodiversity extinction crisis (Soulé 1985). Although it has earlier foundations (e.g., Biological Conservation began to be published in 1968), the new discipline was consolidated in the 1980s and 1990s under the leadership of a group of eminent biologists, who institutionalized this paradigm via their seminal writings, with the creation of the Society for Conservation Biology in 1987, the founding of the journal Conservation Biology in 1988, and the proliferation in the number of conservation biology graduate programs during the early 1990s (Meine et al. 2006). Initially focused on critical biological aspects of conservation, such as genetics, systematics, ecology, and evolution, conservation biology professionals increasingly recognized that the human dimensions of biodiversity are requisite components to the field's overall success (Meine et al. 2006). However, given its personal, epistemological, and institutional roots in the natural sciences, less attention has been paid to the social aspects until relatively recently (e.g., see Fig. 1 in Soulé [1985], Mascia et al. 2003). Over time, conservation biology's traditional understanding of humans as external drivers of change (e.g., humans as a cause of biodiversity loss) has expanded to include humans as beneficiaries of ecosystems (e.g., humans benefit from the services ecosystems provide) and even humans as participants in nature (e.g., the multidirectional and reciprocal relationships of social–ecological systems) (Mace 2014). This reconceptualization of the human–nature relationship, evident today in concepts such as the Anthropocene, social–ecological systems, novel ecosystems, sustainable development, and globalization, has pushed conservation biology to seek a better understanding of and interaction with the full depth and breadth of human relationships with the natural environment. This push in turn has prompted efforts to formalize and institutionalize integrated approaches that more explicitly acknowledge and value the varied contributions of the social sciences (Kareiva & Marvier 2012; Bennett et al. 2017a). Based on this historical evolution, now there is no question that the social sciences are integral to biological conservation; indeed, there is clear consensus on the importance of integrated approaches to address the inherently social nature of most conservation problems (Martin et al. 2016). However, there is still work to be done regarding how to incorporate this extremely broad and diverse area of inquiry (Bennett et al. 2017b). Here, it is important to point out that we purposely did not consider conservation biology's relationship with the arts and humanities, but we recognize their role and value to the field. They require, however, specific treatment elsewhere to give appropriate attention to their particular histories, epistemologies, and methodological approaches. In this context, Conservation Biology’s editorial board initiated an internal discussion in 2015 to better formulate and communicate guidelines for social science articles. Given the journal's pivotal role in communicating conservation science and practice more broadly and that it is a venue increasingly being sought out by social scientists, we believe such guidelines are necessary to achieve uniform, adequate, and fair treatment of manuscripts by editors and reviewers and to inform the journal's authors and readers of policies regarding social science contributions. With these overarching goals in mind, we sought to elucidate the two primary criteria on which submissions are judged appropriate for Conservation Biology: the relevance of the social science contributions to conservation, considering both the objectives of the journal and the broader needs of the field, and the importance of specific contributions to conservation, as determined by their quality, geographic and situational transcendence, and novelty. We strongly encourage prospective authors to submit work that advances the frontiers of conservation social science (e.g., multilevel systems approaches) to consolidate its position beyond simply playing a supporting role to biophysically oriented conservation research. Accordingly, social science contributions to Conservation Biology should satisfy the same primary journal objectives as submissions with a purely biological or natural-science focus. Specifically, they should provide meaningful insights (e.g., identify a significant problem, approach, or solution) and data (e.g., obtained through emerging technologies), and furthermore they should encompass meaningful scales (e.g., scaling up from local to global or multiscale) or syntheses that have broad relevance to conservation beyond specific situations or contexts. Tied to these objectives, relevant social science papers should have clearly articulated implications for conservation and, in general, should be linked to a tangible conservation-related outcome, which can be biological (e.g., recovery of an endangered species), social (e.g., impacts of conservation on human well-being), or both. Studies with a less direct conservation result, or those that do not fully evaluate the conservation outcome as part of the investigation, need to meet other dimensions of relevance outlined below. The journal's editors recognize that the social sciences can play various roles with respect to conservation-related outcomes. These include informing a specific policy, decision, or intervention. But there is also relevance, for example, in assisting with general problem framing and planning, providing a better understanding of the social context of conservation activities, and contributing to communication, education, and outreach efforts (Bennett et al. 2017a). Further, aspiring authors would be well served to consider whether their work is social science for conservation, social science on conservation, or both (Sandbrook et al. 2013). This distinction may help authors better identify specific outcomes and make explicit why and how their contribution is germane to the broader field of conservation biology. Social science research in Conservation Biology should be evaluated based on discipline-specific standards to determine its importance in terms of scientific merit and be held to the same level of scrutiny applied to natural-science submissions (e.g., St. John et al. 2014). Therefore, studies should demonstrate technical and methodological excellence based on internally consistent theoretical structures, which is accomplished by being grounded in established theory and by clearly defining concepts and using appropriate methods (Gelcich & O'Keeffe 2016). To illustrate this point, cognitive constructs, such as attitudes, values, and risk perceptions, can be understood through multiple conceptual frameworks (e.g., communication theory, social psychology, social-systems theory) with different implications, but often within the realm of conservation biology they are used as synonyms due to a lack of theoretical grounding and consistency within a study (Manfredo 2008). In short, assuring that social science standards have been applied and made evident in a study is crucial for determining a manuscript's quality. For example, social science methodological rigor is especially important when applying results to broader contexts, and appropriate procedures are required for both quantitative (e.g., sampling, nonresponse checks, representativeness evaluations, reliability, validity, and data weighting) and qualitative studies (e.g., using mixed methods to triangulate findings as an alternative to replication or sampling until theoretical saturation has been reached as an alternative to statistical methods of inference). Finally, all social science contributions must reflect the journal's ethical standards regarding the collection, use, and storage of data on human subjects (SCB 2004). Highly relevant and high-quality research in the social sciences is needed for conservation, and Conservation Biology plays a central role in defining and advancing this work. Therefore, this editorial and other strategies, such as enhancing the diversity of the editorial board (Burgman et al. 2015), are meant to play a constructive role in reconceiving conservation's study units as integrated social-ecological systems, which requires implementing epistemological, methodological, and institutional adjustments (Anderson et al. 2015). The complexity of conservation problems is, and always has been, greater than the purview of a single discipline or method, and as a mission-driven discipline, conservation biology's inherently normative basis (Callicott et al. 1999) should incentivize its researchers and practitioners to cultivate a culture that facilitates a continual reevaluation of its scientific objectives, approaches, and outcomes, as well as its institutional membership, inclusiveness, and practices. It is only through self-awareness and willingness to work outside the bounds of narrowly defined paradigms and approaches that the conservation community will be able to push its research and practice toward new areas of inquiry and insight to inform effective solutions. Social science contributions that do not attend to the guidelines mentioned above will not be considered suitable for publication in Conservation Biology. It is our hope that the emphasis on disciplinary rigor will also help address the misconception that any biologist can do a social survey or that personal musings constitute a rigorous exploration into the human domain of conservation. At the same time, we do not want to discourage new interdisciplinary or transdisciplinary efforts that fall outside the scope of our recommendations; rather, we seek to incentivize specific contributions that acknowledge and incorporate the high standards that social science traditions have developed and that are so needed to advance effective conservation research and practice. We have sought to provide guidance, not prescriptions, for evaluation. By communicating these criteria, we hope to ensure greater transparency and consistency in the evaluation process and aid editorial decisions by providing a more unified set of criteria. Nonetheless, to fully achieve this goal, more editors and reviewers with social science expertise, who can thoroughly assess the theoretical and methodological consistency and rigor of manuscripts, need to be recruited. As such, more explicit guidance for social science contributions also is meant to help foster an inclusive environment for diverse scientists and practitioners, who may not currently see themselves as part of the conservation biology community, so that they will want not only to submit their manuscripts but also to collaborate with the journal as editors and reviewers.

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 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)0,006
score de la tête « metaresearch » (Gemma)0,007
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,103
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0060,007
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0010,004
Communication savante0,0000,001
Science ouverte0,0020,002
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0070,002

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 Opus0,091
Tête enseignante GPT0,385
Écart entre enseignants0,294 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
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

Citations115
Publié2018
Routes d'admission1
Résumé présentoui

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