Human Agency in the Interstices of Structure: Choice and Contingency in the Conflict over RoÅia MontanÄ, Romania
Bibliographic record
Abstract
Sociology has long struggled with the problem of human agency in its theoretical constructions. Systematically purged from the corpus of positivist, functionalist and rational choice theories, agency has nevertheless surfaced repeatedly in empirical analyses as a constant reminder that individuals are able and willing to act in ways that are not fully explained by the dominant theories. This thesis deals with the problem of human agency by exploring a particular instance of human interaction in which the choices and actions of individuals as well as the contingencies facing them are particularly conspicuous. The example chosen as a case study is the conflict over the planned Roşia Montană gold and silver mine in Romania. As neither the supporters, nor the opponents of the planned open cast mine have managed to impose their will and determine the commencement or cancelation of the mining project, the resulting struggle was extended over more than a decade. During this period, a variety of social actors with different interests and worldviews were drawn into complex interactions with each other, thus making the trajectory and outcome of the conflict unpredictable. At the same time, there emerged an enlarged space for human agency, especially for those actors that have been usually conceived as voiceless and powerless. The origins of this space of agency are traced to the particular configuration of macro-social processes which interacted in series of highly contingent events. More exactly, none of the broad processes discussed in the literature on resource conflicts – such as accumulation by dispossession, the resource curse or unequal development – ran its full course in determining the outcomes of the conflict. The temporary suspension of overpowering structural determinations opened up a realm in which social actors could convert the contingencies of the conflict into opportunities and risks. Individuals became relatively free to make choices and influence the choices of others. The language of the sociology of translation is used as the most apt description of the fluidity of these interactions. The dynamic between the ordering and reordering of the social world of Roşia Montană through interaction is a key insight of the thesis.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.022 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".