The course starts with an introduction to the climate, highlighting it as a combination of natural and human-made (anthropogenic) phenomena.
The Greenhouse Effect:
It's explained that the Earth's climate, including temperature, wind, humidity, and precipitation, is significantly influenced by the greenhouse effect. This process involves certain gases absorbing infrared radiation from the Earth's surface and reradiating it in all directions, which keeps the planet habitable by making it warmer than it would otherwise be.
Astrophysical and Geophysical Influences:
The course covers how astrophysical phenomena, particularly the Milankovitch Cycles (eccentricity, obliquity, and precession), alongside natural geophysical factors like volcanic eruptions and continental drift, play crucial roles in shaping the Earth's climate.
Definition and History of Climate Change:
Climate change is defined as long-term changes in the mean and variability of climatic properties. The Earth's climate has undergone numerous changes, with seven glacial advances and retreats in the last 650,000 years. The last ice age ended approximately 11,000 years ago, marking the beginning of the modern climate era.
Modern Climate Change:
Unlike historical climate fluctuations, modern climate change, marked by significant global warming since the onset of the industrial era, is occurring at an unprecedented pace. This recent warming cannot be explained solely by natural factors.
Anthropogenic Factors:
The course emphasizes that human activities, especially greenhouse gas emissions from fossil fuel burning, deforestation, and land use changes, are the primary drivers of recent climate change. Carbon dioxide levels have reached unprecedented levels, with current concentrations around 400 parts per million compared to 280 parts per million two centuries ago.
Economic Sectors and Greenhouse Gas Emissions:
It is highlighted that the industrial and power sectors are the most significant contributors to greenhouse gas emissions, taking into account both direct and indirect emissions.
The lectures delve into the intricate and specialized knowledge systems of indigenous peoples and local communities, underscoring the depth of understanding these groups have concerning their environments, fostered through prolonged interaction with nature. It categorizes their knowledge into theoretical (e.g., recognizing animal species), practical (e.g., using a bow and arrow), and belief systems (world interpretations). Examples highlight the complexity of this knowledge: Australian Indigenous communities' celestial knowledge informs social organization and ceremonies, evident in artifacts like the message stick and stone arrangements aligned with astronomical events. Similarly, the Andean people's agricultural practices, honed over millennia, showcase an intimate adaptation to their environment, recognized globally for its significance. Further, the collaborative fishing practices between Brazilian fishermen and dolphins illustrate a sophisticated, mutualistic relationship between humans and wildlife, enhancing both parties' success. In Africa, the synergy between honey gatherers and the African honey bird showcases complex interspecies communication, leading to mutual benefits. These instances exemplify how indigenous and local community knowledge systems, deeply rooted in practical, theoretical, and belief-based understandings, contribute significantly to sustainable environmental interaction and conservation.
The course discusses the contrasts and commonalities between scientific knowledge and local ecological (traditional or indigenous) knowledge systems, highlighting their distinct characteristics and the value of integrating these diverse knowledge systems. Scientific knowledge, developed over the past 150 years, follows a reductionist approach, focusing on breaking down reality into smaller, analyzable parts and relies heavily on controlled experimentation and written documentation. It aims at uncovering universal truths and understanding the mechanisms behind observed patterns in the natural world. In contrast, local ecological knowledge is holistic, incorporating physical and metaphysical elements, and is deeply rooted in long-term interactions with the environment. It is transmitted orally, often through storytelling, and is empirical, place-based, and context-specific, emphasizing practical applications. Despite these differences, both systems recognize the interconnectedness of the universe, are dynamic, and share values like honesty and inquisitiveness. They aim to understand environmental processes and phenomena, suggesting that integrating these knowledge systems through approaches like the multiple evidence-based approach can enrich our understanding of complex issues like climate change. This integration acknowledges the complementary and sometimes contradictory insights provided by each system, offering a more holistic perspective on environmental understanding and problem-solving.
This course highlights the intricate relationship between climate change and its multifaceted impacts on ecosystems and human well-being. It underscores the significance of robust data with temporal depth and broad spatial coverage for understanding climate patterns on a global scale. However, the availability of such data is limited, particularly in meteorological sciences, where there is an uneven global distribution of meteorological stations, affecting our comprehension of climate phenomena. The narrative emphasizes the limitations of global climatic models in capturing the localized effects of climate change and points out the existing knowledge gap in understanding the impacts on biological systems and human livelihoods. It brings to light the invaluable contribution of local and ecological knowledge, particularly from indigenous peoples and local communities, in identifying and interpreting climate change effects. This knowledge, rooted in long-term interaction with their environment, offers nuanced insights into climate change impacts and adaptation strategies. The text illustrates a growing scientific interest in integrating local ecological knowledge into climate change studies, as evidenced by the increase in related publications over the last 15 years. It also acknowledges the formal recognition of this knowledge by international bodies like the IPCC and the UNFCCC, highlighting its importance in enhancing our understanding of climate change and informing adaptation strategies. This narrative posits that leveraging local ecological knowledge can provide a more comprehensive understanding of climate change, bridging the gap between global models and localized impacts.
Archiving Language Documentations
In the world of digital data repositories, “data'' are materials or files that result from research and that are used to produce documents like reports, scholarly articles, pedagogical materials, theses and dissertations. Ideally, research data should be accompanied by supporting documentation (also known as “metadata”) that helps to explain what the data are about, how to interpret them, and keys to any codes that were used to prepare or analyze the data themselves. In language archiving, we use the term “data'' very broadly to include any recorded observations of language, including sounds, images, and writing, that can be transcribed, translated, glossed, watched, read, or measured for analysis.
Collections in today’s digital language archives (i.e., digital repositories that specialize in language data) are multimedia, mainly born-digital, and frequently include very large files and/or large numbers of small files. The collections are made specifically for language documentation and preservation purposes; archiving happens soon after the materials are collected; and materials are accessible for many audiences via the internet.
Analog materials originate in an analog or non-digital form.
An archive is a repository or institution that preserves materials so they can be accessed in the future. In this curriculum we will be discussing digital archives.
Born-digital files are multimedia files, formats and data that originate in digital form.
Data are a collection of numerical or textual observations which can then be cleaned, processed, and analyzed for many purposes.
A digital language archive is a digital repository that specializes in language data or content.
A digital repository is a repository meant for digital data.
Digitized materials originated in analog form and are later digitized to create a digital copy or surrogate.
A repository is a place where things are stored. Some repositories store only digital items (digital repososities); others store only physical items (physical archives or repositories, brick-and-mortar archives); others store both digital and physical items. We use the term repository interchangeably with the term archive.
understand what “data” is in the field of language archiving;
understand the difference between primary and secondary data;
understand the meaning and importance of “metadata”;
understand the structure and purpose of archives;
be able to distinguish between different types of digital repositories; and
know how to choose an appropriate archive for your collection.
- Preserve materials for future access.
- Serve a wide range of users including collectors, heritage language users, language revitalizers, community members, historians, genealogists, NGOs, and academics.
- Collectors for referencing or demonstrating research.
- Heritage language users reclaiming languages.
- Language revitalizers creating pedagogical materials.
- Community members exploring local history or culture.
- Future historians, genealogists, governmental agencies, NGOs, and academic researchers.
- Visual artists and composers drawing inspiration.
- Vital for the revitalization, reclamation, and analysis of endangered or sleeping languages.
- Valuable even for languages that are expected to remain vital.
- Provide snapshots of languages and their communities at specific times.
- Enables users to determine the usefulness of a collection.
- Assists in finding relevant materials for use.
- Total of all collected and created materials in a project.
- Includes working files, drafts, and ephemera.
- In low-electricity, low-internet zones, backing up to external hard drives is common.
- Aim to avoid data loss without redundant copies of identical directories.
- Selection of meritorious parts from the assemblage for archiving.
- Organization into a logical arrangement.
- Creation of metadata and descriptions for easy navigation and understanding.
- Collections can/should include diverse materials:
- Recorded conversations.
- Songs.
- Procedural texts.
- Photographs.
- Videos.
- Analytical documents.
- Goal: Enhance accessibility and utility.
- A corpus is a collection of materials, often texts with annotations, designed for a specific purpose.
- Examples: Recorded words for phonetic studies, interviews with poets.
- Mention of the Brown Corpus: Annotated set of a million English words.
- Single vs. Multiple Purposes: Some corpora are created for a specific study, while others are designed for broad applicability.
- Scale: Corpora can range from very large to small, depending on their intended use and scope.
- Importance: Understanding the concept and utility of corpora in research and language studies.
For each recording session, you should record as much descriptive information about the context of the recordings as possible. Of particular interest and relevance are:
The participants in the data/file creation. If it is a recording, who is seen/heard in it and who is making it? Is anyone else involved? What is their role? Note everyone involved in the process.
Date and location. Where and when is a recording being made?
Languages that are spoken in each recording. This is especially important in a multilingual environment.
The context and content of the file. Why is the recording being made?