Академічне hedging: пом'якшення тверджень (C1)
C1 текст про formal limitations section in grant writing: may/might, tend to, suggest, appear to у науковому контексті. Англійська з перекладом.
A Grant Proposal's Limitations Paragraph
Читання для практики
Читайте безкоштовно. Створіть акаунт, щоб перекладати слова, зберігати прогрес і тренуватися.
Стаття тренує academic hedging у контексті a national research council fellowship application. Містить багато цільових конструкцій для автоматизації пом'якшення тверджень.
Рівень: C1Тема: Академічне hedging; may/might/could, tend to, appear to, seem to, suggest, indicate, arguably, somewhat, relatively, it is possible that; 35+ прикладів
The limitations paragraph in a national research council fellowship application opened with a frank admission that the sample may not represent national diversity. Anya wrote that the proposed mechanism could suggest a pathway worth testing, not a conclusion already established. Reviewers tend to trust applicants who indicate where uncertainty remains and how the project will address it.
Joel added that preliminary pilots seem to support feasibility, though effect sizes are relatively modest so far. Luca argued that the team should somewhat reduce ambition in the aims section to match what year one can deliver. Mira agreed it is possible that external partners might delay access, so contingency language was inserted throughout.
Joel explained that journals expect limitations sections to appear early rather than as an afterthought in revision. Mira reminded colleagues that hedging protects authors when datasets remain provisional or methods evolve mid-project. Mira and Anya reviewed notes from a national research council fellowship application, aware that overstated claims invite reputational and ethical scrutiny.
The trend might appear to confirm the hypothesis until missing cases are restored in the dataset Luca described. The effect size is somewhat smaller than the authors predicted, which might explain why peer reviewers requested additional robustness checks. Luca explained that journals expect limitations sections to appear early rather than as an afterthought in revision.
The trend might appear to confirm the hypothesis until missing cases are restored in the dataset Mira described. Joel explained that journals expect limitations sections to appear early rather than as an afterthought in revision. The latest figures suggest that the effect appears stronger among younger cohorts, which would align with prior work if replication succeeds.
When questions sharpened, panellists shifted from bold headlines to qualified statements supported by explicit caveats. When questions sharpened, panellists shifted from bold headlines to qualified statements supported by explicit caveats. Luca noted that the policy may well produce benefits, yet those benefits might emerge only under conditions not tested here.
A shared principle emerged: hedging signals intellectual honesty rather than weakness in research communication. Academic discourse rewards precision, so speakers calibrated every assertion against what the evidence could fairly carry. Even confident specialists hesitate before absolute language when peer review, funding, or policy consequences follow publication.
Anya reminded colleagues that hedging protects authors when datasets remain provisional or methods evolve mid-project. Luca and Mira reviewed notes from a national research council fellowship application, aware that overstated claims invite reputational and ethical scrutiny. It would appear that the intervention group improved faster, but attrition rates suggest the comparison is not perfectly balanced.
The preliminary analysis suggests that the pilot sample underrepresents rural households, and the team agreed this may reflect sampling noise rather than a stable effect. Even confident specialists hesitate before absolute language when peer review, funding, or policy consequences follow publication. A shared principle emerged: hedging signals intellectual honesty rather than weakness in research communication.
It would appear that the intervention group improved faster, but attrition rates suggest the comparison is not perfectly balanced.
Joel added that preliminary pilots seem to support feasibility, though effect sizes are relatively modest so far. Luca argued that the team should somewhat reduce ambition in the aims section to match what year one can deliver. Mira agreed it is possible that external partners might delay access, so contingency language was inserted throughout.
Joel explained that journals expect limitations sections to appear early rather than as an afterthought in revision. Mira reminded colleagues that hedging protects authors when datasets remain provisional or methods evolve mid-project. Mira and Anya reviewed notes from a national research council fellowship application, aware that overstated claims invite reputational and ethical scrutiny.
The trend might appear to confirm the hypothesis until missing cases are restored in the dataset Luca described. The effect size is somewhat smaller than the authors predicted, which might explain why peer reviewers requested additional robustness checks. Luca explained that journals expect limitations sections to appear early rather than as an afterthought in revision.
The trend might appear to confirm the hypothesis until missing cases are restored in the dataset Mira described. Joel explained that journals expect limitations sections to appear early rather than as an afterthought in revision. The latest figures suggest that the effect appears stronger among younger cohorts, which would align with prior work if replication succeeds.
When questions sharpened, panellists shifted from bold headlines to qualified statements supported by explicit caveats. When questions sharpened, panellists shifted from bold headlines to qualified statements supported by explicit caveats. Luca noted that the policy may well produce benefits, yet those benefits might emerge only under conditions not tested here.
A shared principle emerged: hedging signals intellectual honesty rather than weakness in research communication. Academic discourse rewards precision, so speakers calibrated every assertion against what the evidence could fairly carry. Even confident specialists hesitate before absolute language when peer review, funding, or policy consequences follow publication.
Anya reminded colleagues that hedging protects authors when datasets remain provisional or methods evolve mid-project. Luca and Mira reviewed notes from a national research council fellowship application, aware that overstated claims invite reputational and ethical scrutiny. It would appear that the intervention group improved faster, but attrition rates suggest the comparison is not perfectly balanced.
The preliminary analysis suggests that the pilot sample underrepresents rural households, and the team agreed this may reflect sampling noise rather than a stable effect. Even confident specialists hesitate before absolute language when peer review, funding, or policy consequences follow publication. A shared principle emerged: hedging signals intellectual honesty rather than weakness in research communication.
It would appear that the intervention group improved faster, but attrition rates suggest the comparison is not perfectly balanced.
Про статтю
Рівень C1Фокус читання
Що вивчите
Академічне hedging; may/might/could, tend to, appear to, seem to, suggest, indicate, arguably, somewhat, relatively, it is possible that; 35+ прикладів
Стаття тренує academic hedging у контексті a national research council fellowship application. Містить багато цільових конструкцій для автоматизації пом'якшення тверджень.
Коментарі
Увійдіть, щоб залишити коментар
УвійтиПоки що немає коментарів. Будьте першим!
