相信数字:在稀土元素的探索中,严的数字和投机性的虚构
1National University of Singapore, Singapore.
Social studies of science
|October 17, 2023
概括
稀土元素 (REE) 市场崩揭示了勘探公司的脆弱战略. 专家们现在可以导航受监管的数据和在线谣言,在波动的风险投资市场中重新分配权威和解释角色.
科学领域:
- 科学和技术研究 (STS)
- 经济地质学 地质学
- 金融社会学 金融社会学
背景情况:
- 2010年代初,稀土元素 (REE) 的价格大幅下跌,导致许多勘探公司破产.
- 这次活动突出了高风险矿产商品市场内固有的风险和合法化策略.
- 专注于技术披露的新监管框架产生了大量的地质技术数据.
研究的目的:
- 检查勘探专家如何在受监管和非正式的市场空间中管理和呈现信息.
- 分析各种"文学技术"在塑造专家权威和市场动态方面的作用.
- 了解专家在应对市场危机和监管期望时所面临的挑战.
主要方法:
- 与勘探地质学家和发起人进行民族学实地研究.
- 在正式的技术报告和非正式的在线论坛中分析信息传播.
- 质量检查"文学技术"及其对专家信誉的影响.
主要成果:
- 监管过程在生成数据的同时,改变了全球提取时间表,并促进了不可预测的叙事环境.
- 专家们战略性地结合了"严" (受监管) 和"投机" (非正式) 的信息,以维持矿产要求和公司的可行性.
- 使用各种"文学技术"已经将解释权从专家手中转移,在市场内重新分配权威.
结论:
- 该研究揭示了稀土元素行业的专家如何利用各种沟通策略来应对市场波动.
- 专家必须坚持监管理想,同时也参与投机性话语,使他们的权威作用复杂化.
- 这些发现强调了自然资源风险资本市场的监管,信息和权威之间的复杂相互作用.
更多相关视频
10:31Detection and Recovery of Palladium, Gold and Cobalt Metals from the Urban Mine Using Novel Sensors/Adsorbents Designated with Nanoscale Wagon-wheel-shaped Pores
Published on: December 6, 2015
28.1K
14:55Analysis of Minerals Produced by hFOB 1.19 and Saos-2 Cells Using Transmission Electron Microscopy with Energy Dispersive X-ray Microanalysis
Published on: June 24, 2018
9.3K
相关概念视频
Estimation of the Physical Quantities
4.3K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
4.3K
Uncertainty: Overview
570
In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
570
Unusual Results
3.2K
Unusual results are those that have a very low chance of occurring. Unusual results can be identified using probabilities and the range rule of thumb. In problems involving probability, unusual results can be observed in 2 instances – an unusually high number of successes or an unusually low number of successes.
According to the range rule of thumb, any value above or below two standard deviations, 2σ from the mean, μ is considered unusual.
Maximum unusual value =...
According to the range rule of thumb, any value above or below two standard deviations, 2σ from the mean, μ is considered unusual.
Maximum unusual value =...
3.2K
Significant Figures in Calculations
10.5K
Uncertainty in measurements can be avoided by reporting the results of a calculation with the correct number of significant figures. This can be determined by the following rules for rounding numbers:
10.5K
Minerals
330
Minerals are essential nutrients that the human body needs in small amounts to work properly. They play a vital role in many bodily functions, such as building strong bones and transmitting nerve impulses. Some minerals are needed for hormone production or to maintain a normal heartbeat. Major minerals include calcium, phosphorus, potassium, sulfur, sodium, chlorine, and magnesium, while trace minerals include iron, manganese, copper, iodine, zinc, cobalt, fluoride, and selenium.
Major...
Major...
330
Uncertainty in Measurement: Accuracy and Precision
73.8K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.
73.8K
