The conservation social sciences: What?, how? and why?: a report for conservation organizations, foundations, practitioners, agencies and researchers
Notice bibliographique
Résumé
Each of the fields of conservation social science has made and can make a unique contribution to understanding the relationship between humans and nature and to improving conservation outcomes. Conservation scientists, practitioners and organizations recognize the importance of the conservation social sciences and are increasingly engaging in and funding conservation social science research. Yet conservation organizations and funders often lack a clear understanding of the breadth of the conservation social sciences, the types of questions that each field of conservation social science poses, the methods used by disciplinary specialists, or the potential contribution of each field of conservation social science to improving conservation practice and outcomes. Limited social science capacity and knowledge within conservation organizations may also mean that conservation practitioners and organizations looking to fund conservation social science research do not know where or how to begin defining a social science research agenda. This report presents a series of papers that were given as part of a workshop titled “The conservation social sciences: Clarifying ‘what?’, “how?’ and ‘why?’ to inform conservation practice” that occurred at the North American Congress for Conservation Biology in Missoula, Montana in July 2014. The workshop brought together specialists from the breadth of the conservation social sciences to define the contributions of their disciplines and fields to conservation through exploring the ‘what?’, ‘how?’ and ‘why?’ of each area of expertise. The resultant report aims to stimulate dialogue among conservation organizations, foundations, agencies, practitioners and researchers about the role of the conservation social sciences. It is intended to build capacity, promote knowledge and foster engagement with conservation social sciences in order to improve conservation practice and outcomes. The first chapter of the report introduces the conservation social sciences. The body of the report provides succinct synopses of the different conservation social sciences by specialists in Psychology, Economics, Sociology, Anthropology, Political Science and Governance, Human Dimensions, Political Ecology, Ethics, Education and Communication, Conservation and Development, and Science and Technology Studies. The concluding chapter a) provides a broad overview of the topics explored, questions asked, methods used and contributions made by each field of conservation social science and b) presents a process by which conservation organizations or funders can define and prioritize a conservation social science research agenda. We propose five steps to guide organizations wishing to better employ the conservation social sciences: 1) Recognize and overcome organizational barriers to incorporating conservation social sciences and build support for and understanding of the conservation social sciences; 2) Identify the conservation problem(s) that the organization aims to address and highlight their social dimensions; 3) Partner with social scientist(s) to frame key topics, questions and approach; 4) Brainstorm key topics for investigation or research questions and prioritize them to establish a conservation social science agenda; and 5) Partner with, contract or hire conservation social scientist(s) to carry out the work.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,067 | 0,074 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,002 |
| Méta-épidémiologie (sens large) | 0,001 | 0,003 |
| Bibliométrie | 0,006 | 0,006 |
| Études des sciences et des technologies | 0,007 | 0,006 |
| Communication savante | 0,019 | 0,017 |
| Science ouverte | 0,004 | 0,012 |
| Intégrité de la recherche | 0,017 | 0,020 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,009 |
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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».