Corina Martin-Iordache. Education with Meaning. A Teacher's Jorunal from the Years of the Covid-19 Pandemic 2019-2021
Bibliographic record
Abstract
s book is organised as a kaleidoscopic display of thoughts and beliefs about key issues pertaining to education, organised in five parts and thirty-five sub-sections, each presenting a distinct point of view (political, philosophical, historical, cultural, moral, and ethical).The thirty-five sections, which function like a collection of separate journal entries, allow the author to explore key concepts, such as one's purpose in life, the pursuit of happiness, social strata, social action, identity and their impact on educational policies and practices across time, from antiquity to modern times, from Europe to North America, Canada.From the introduction, readers find out a little about teacher Corina Martin-Iordache, who, with thirty years of experience as a teacher and an education that brought her into contact with Julia Kristeva and J. E. Chamberlain, sets out to explore how education opens doors for human fulfilment.The first lens proposed by the author is that of political views that impact education, which shift between liberal, conservative, or socialist, in the section called "Defining concepts: Morality, Ethics and Liberalism".Starting from Kant's view of reason as the basis of any moral and ethical system and the definition of freedom as submission to laws that serve both the individual, and the larger community, the author moves through Blackburn's claim to balance between rights, freedoms and compromises through critical thinking and the exercise of healthy debate of moral and ethical issues, only to reach the concept of liberalism and the evolution of liberal thought from the Enlightenment age to the 20 th century: "Thus critical thinking shaped by quality education becomes a key element in the healthy evolution of any society" (7)In the section "Reforming Society through education", the author takes further the idea of political liberalism to its transfer for the educational system and the birth of concepts such as child-centred education, individual learner and critical thinking.She skilfully explores these key concepts as they came under the scrutiny of John Dewey at the beginning of the 20 th century and comments on the importance of developing critical thinking "in the age of social media, fake news, trolls and influencers [...] since rising populist thinking and mob mentality threaten the very fabric of our society" (9).The next few journal entries continue the idea of freedom and critical thinking with a focus on the idea of reform of the educational
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".