Showing 721 - 730 of 5831 Items


Statement by Anonymous collected by Rachel George on September 11, 2014

Date: 2014-09-11

Creator: Anonymous

Access: Open access



Statement by Anonymous and Anonymous collected by Rachel George on February 4, 2015

Date: 2015-02-04

Creator: Anonymous

Access: Open access



Statement by Alivia Moore collected by Heather Westleigh on November 4, 2014

Date: 2014-11-04

Creator: Alivia Moore

Access: Open access



Statement by Anonymous collected by Rachel George on July 17, 2014

Date: 2014-07-17

Creator: Anonymous

Access: Open access



Miniature of Something’s Gotta Give:  Guns, Youth, and Social Change in Denver, Colorado
Something’s Gotta Give: Guns, Youth, and Social Change in Denver, Colorado
Access to this record is restricted to members of the Bowdoin community. Log in here to view.

      Date: 2019-05-01

      Creator: Carlos Manuel Holguin

      Access: Access restricted to the Bowdoin Community



        International Courts as Venues for Climate Activists: Conceptualizing the Effectiveness of International Climate Litigation Through Norm Development

        Date: 2025-01-01

        Creator: Ciara McMillan Tran

        Access: Open access

        This thesis explores the emergence of international courts as venues for climate activists, and how climate litigation connects climate change-related damages to human rights law to broaden human rights norms related to the environment. Through three case studies of international climate cases, this project evaluates the effectiveness of international climate litigation through direct effectiveness, indirect effectiveness, and normative effectiveness. It argues that international climate cases are involved in the work of larger transnational advocacy networks who engage with issue framing that presents their causes to both a legal and a public audience. Framing is an ongoing, contested process that both activists and respondent states engage with, but the processes of norm development and socialization it prompts may ultimately work to advance the idea of climate and environment-related rights.


        Miniature of Exploring Auditory Compensatory Neuroplasticity and Negative Phonotactic Behavior in G. bimaculatus Through Computer Vision and Machine Learning-Driven Analysis
        Exploring Auditory Compensatory Neuroplasticity and Negative Phonotactic Behavior in G. bimaculatus Through Computer Vision and Machine Learning-Driven Analysis
        Access to this record is restricted to members of the Bowdoin community. Log in here to view.

            Date: 2025-01-01

            Creator: Chongye "Tom" Han

            Access: Access restricted to the Bowdoin Community



              Miniature of Introgression and adaptive gene flow in a Tropical Eastern Pacific parrotfish hybrid swarm
              Introgression and adaptive gene flow in a Tropical Eastern Pacific parrotfish hybrid swarm
              This record is embargoed.

                  Date: 2025-01-01

                  Creator: Jolie R. Ganzell

                  Access: Permanent restriction



                    Hybrid Pixel-Superpixel Structures for Enhanced Image Segmentation: Integrating Boundary Information in Deep Learning Models

                    Date: 2025-01-01

                    Creator: Jack Roberts

                    Access: Open access

                    This project explores novel approaches to image segmentation using U-Net, leveraging superpixels to enhance accuracy. The first part investigates augmenting standard image inputs by encoding and integrating superpixel information, including an extension that reintroduces this information throughout the encoder. While results show that these methods can offer consistent improvements over the baseline, the gains are modest and suggest room for further optimization. The second part introduces a hybrid data structure, the Superpixel-Integrated Grid (SIGrid), which embeds superpixel boundary, shape, and color descriptors into a regular n × n grid. SIGrid enables more efficient training on smaller architectures while achieving noticeably higher segmentation accuracy, highlighting its potential as a lightweight and effective input representation. The code developed for this project can be found at: https://github.com/JackRobs25/Honors