Technostress or reaction to techno-stressors? Validation of bilingual techno-stressors index (TSI-II) and a second-order formative model of techno-distress among Canadian legal professionals
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Technostress is a phenomenon that needs to be seen as a process rather than a result. This requires the adaptation of measurement tools accordingly. Legal professionals are particularly exposed to technostress. This paper presents the validation of the TSI-II, an updated and bilingual version of the Techno-Stressors Index (TSI). This updated instrument was tested (French-n = 35; English-n = 30) and then retested (Overall-n = 4482; FR-n 1 = 544; ENG-n 2 = 3938) in both languages among Canadian legal professionals. Using the TSI-II, this paper proposes a second-order formative model of techno-distress, including seven techno-stressors, which captures the recent developments associated with the evolution of the technostress literature. Following the best practices for scale development, TSI-II presents excellent properties and is a good predictor of perceived stress among legal professionals. This validation aligns with developments in technostress literature, namely, the conceptual evolution of techno-distress as a component of the technostress process. • TSI-II proposes a second-order formative construct for measuring techno-distress including seven techno-stressors. • The validation process is aligned with the formative evolution of technostress. • The final bilingual instrument was validated in English and in French among Canadian legal professionals. • TSI-II presents excellent properties and is a good predictor of perceived stress among professionals.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it