Bibliographic record
Abstract
This essay claims that ‘access to justice’ has erroneously been assumed to be synonymous with invisible concepts instead of access to a lawyer’s language. The Paper outlines how a language concerns the relation between signifiers, better known as word-images, on the one hand, with signfieds, better known as concepts, on the other. The signifieds are universal, artificial and empty in content. Taking the Canadian Charter of Rights and Freedoms as an example, officials have assumed that Charter knowledge has involved signifieds (such as rules, principles, doctrines and tests) as if the signifiers were transparent. But any one signifier differs from another signifier without the lawyer ever accessing the invisible signifieds. Ironically, although the lawyer, law professor or law student believes that s/he is studying legal ‘practice’ and although legal knowledge has been considered a matter of signified concepts, the knowledge has really concerned the differentiating relations of signifiers. As a consequence, the moment of accessing the concepts (signifieds) has been forever deferred. ‘Access to justice’ has become access to the special language of signifiers, a language which lawyers alone are privileged to enforce. Turning to the Charter, lawyers claiming to know the special Charter language became indispensable to social life. Even the meaning-constituting human subject became a signifier, better known as ‘the legal person’ defined by Charter rights. Charter language, however, has deferred an access to the invisible concepts such as ‘freedom’ or ‘democracy’, terms in Section of the text. Access to justice’ has become access to the language of the privileged class of lawyers. The lawyer’s language has become a theoretical language in the name of access to justice. And yet, because the theoretical language has been propagated as concerned with ‘practice’, it has been difficult to challenge the social-cultural content of the language of lawyers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.041 |
| Scholarly communication | 0.013 | 0.017 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".