本研究將先介紹筆者的語言學碩士論文（連，2023），如何分析《東吳哲學學報》2017年至2021年西方哲學論文摘要語體的修辭語步特徵與提供寫作建議，並試圖從哲學圈內人的角度，對連（2023）的哲學寫作 建議進行批判性的反思，探討哲學教師或新手哲學家可以如何看待華文哲學論文摘要的寫作建議。接著，筆者將問題聚焦在跨領域學科（應用語言學統計結果與哲學論文寫作）之間的哲學問題，即——哲學家應如何看待語言學家 針對哲學論文的研究結果。筆者將考慮領域間研究（IDR）的語言與詞語概念關係。而藉由討論上述跨領域研究中語義直覺分歧的問題，筆者提出了三種可能的哲學態度：(1)服從科學權威、(2)尊重特定領域用詞、(3 )質疑邊緣科學理論。筆者認為，上述三種態度對於哲學家如何看待「方法(M)」和「結論(C)」這兩項跨領域語義概念分歧和可能理論分歧有著重要的影響。筆者希冀藉由提出相關解決方案來尋求「理論統一」或「領域整 合」的可行性，最終得以促進跨領域合作與跨學門間良好學術交流的互動成長。 -/- 關鍵詞：領域間研究（IDR）、應用語言學、哲學寫作、語體分析、修辭語步 .

In this paper, I expand my upon earlier linguistic research (Lian, 2023), which delved into the genre of abstracts from Western philosophical papers. I engage with the philosophical ramifications emanating from the guidelines established for crafting philosophy paper abstracts (Lian, 2023) and underscore their significance in the domain of academic philosophical writing. A pivotal focus of this research is to navigate the intricate philosophical challenges posed by cross-disciplinary investigations bridging applied linguistic statistics with philosophical paper composition, specifically, the nuanced interpretation (...) of linguistic findings in a manner palatable to philosophers. My exploration probes into the dynamics of various concepts within Inter-Disciplinary Research (IDR), highlighting the complexities in reconciling semantic intuitions related to the notions of "Method (M)" and "Conclusion (C)". I delineate three philosophical stances: (1) deferring to scientific authority, (2) recognizing domain-specific terminologies, and (3) interrogating peripheral scientific theories. I posit that these stances significantly influence the ways philosophers engage with and resolve the cross-disciplinary semantic and theoretical contentions stemming from the rhetorical structures of "Method (M)" and "Conclusion (C)". This work proposes avenues to attain either "theoretical coherence" or "disciplinary synthesis", thereby fostering enhanced cross-disciplinary collaboration and fortifying academic discourse across diverse fields. -/- Keywords: Inter-Disciplinary Research (IDR), Applied linguistics, Philosophical writing, Genre Analysis, Rhetorical Moves . (shrink)

Interdisciplinary research collaboration is crucial for addressing complex global challenges, and measuring researchers' perceptions of it is vital. The Perception of Interdisciplinary Research Collaboration (PIRC) Scale was meticulously developed and validated in this study to enable researchers to assess these perceptions comprehensively. The scale was developed in line with the team science theory. This cross-sectional study involved concept analysis, face and content validity, item pretesting, and pilot testing. A panel of eight specialists from relevant fields meticulously reviewed the items in (...) the instrument, and their inputs and suggestions were followed to refine the instrument, resulting in a 64-item questionnaire. A sample of 1,932 academic staff members with interdisciplinary research experience were selected from six universities in South-South Nigeria for a pilot study. A simple random sampling technique was employed in selecting these participants. Exploratory factor analysis yielded six underlying dimensions within the PIRC Scale, such as: "challenges of Interdisciplinary Disciplinary Research (IDR) collaboration," "IDR collaborative experiences," "motivations for IDR collaboration," "benefits of IDR collaboration," "career impact of IDR collaboration," and "IDR team dynamics." Confirmatory factor analysis confirmed this structure and revealed the bifactor model as the best-fitting model over the unidimensional, oblique and higher-order models. Utilising the Fornell-Larcker approach, strong convergent and discriminant validity was established across all dimensions, with Average Variance Extracted (AVE) above .50 and the square root of the AVE for all factors being greater than the correlation coefficients of each factor with other factors. Cronbach's alpha and McDonald's omega values exceeded the acceptable threshold of 0.70, with item-total correlation analyses further supporting the reliability of each sub-scale and the overall instrument. In conclusion, the PIRC scale can be valuable for researchers, institutions, and policymakers to assess and enhance interdisciplinary research collaboration. It can empower stakeholders to obtain useful information about researchers' perceptions of interdisciplinary research, promote effective collaboration, allocate resources efficiently, and foster innovation. (shrink)

Interdisciplinary research collaboration is crucial for addressing complex global challenges, and measuring researchers' perceptions of it is vital. The Perception of Interdisciplinary Research Collaboration (PIRC) Scale was meticulously developed and validated in this study to enable researchers to assess these perceptions comprehensively. The scale was developed in line with the team science theory. This cross-sectional study involved concept analysis, face and content validity, item pretesting, and pilot testing. A panel of eight specialists from relevant fields meticulously reviewed the items in (...) the instrument, and their inputs and suggestions were followed to refine the instrument, resulting in a 64-item questionnaire. A sample of 1,932 academic staff members with interdisciplinary research experience were selected from six universities in South-South Nigeria for a pilot study. A simple random sampling technique was employed in selecting these participants. Exploratory factor analysis yielded six underlying dimensions within the PIRC Scale, such as: "challenges of Interdisciplinary Disciplinary Research (IDR) collaboration," "IDR collaborative experiences," "motivations for IDR collaboration," "benefits of IDR collaboration," "career impact of IDR collaboration," and "IDR team dynamics." Confirmatory factor analysis confirmed this structure and revealed the bifactor model as the best-fitting model over the unidimensional, oblique and higher-order models. Utilising the Fornell-Larcker approach, strong convergent and discriminant validity was established across all dimensions, with Average Variance Extracted (AVE) above .50 and the square root of the AVE for all factors being greater than the correlation coefficients of each factor with other factors. Cronbach's alpha and McDonald's omega values exceeded the acceptable threshold of 0.70, with item-total correlation analyses further supporting the reliability of each sub-scale and the overall instrument. In conclusion, the PIRC scale can be valuable for researchers, institutions, and policymakers to assess and enhance interdisciplinary research collaboration. It can empower stakeholders to obtain useful information about researchers' perceptions of interdisciplinary research, promote effective collaboration, allocate resources efficiently, and foster innovation. (shrink)